| _ | bayesian | _ |
|---|
| 3-D Contextual | bayesian | Classifier, A |
| 3-D Contextual | bayesian | Classifiers |
| 3-D Reconstruction of Microtubules From Multi-Angle Total Internal Reflection Fluorescence Microscopy Using | bayesian | Framework |
| 3-D Stent Detection in Intravascular OCT Using a | bayesian | Network and Graph Search |
| 3D Face Pose and Animation Tracking via Eigen-Decomposition Based | bayesian | Approach |
| 3D object recognition using | bayesian | geometric hashing and pose clustering |
| 3D objects detection with | bayesian | networks for vision-guided mobile robot navigation |
| AABO: Adaptive Anchor Box Optimization for Object Detection via | bayesian | Sub-sampling |
| Accelerate CNN via Recursive | bayesian | Pruning |
| Accelerated | bayesian | Imaging by Relaxed Proximal-Point Langevin Sampling |
| Accelerated | bayesian | Inversion of Transient Electromagnetic Data Using MCMC Subposteriors |
| Accurate and Efficient | bayesian | Method for Automatic Segmentation of Brain MRI, An |
| Accurate and Interpretable | bayesian | MARS for Traffic Flow Prediction |
| Accurate appearance-based | bayesian | tracking for maneuvering targets |
| Action Spaces for Efficient | bayesian | Tracking of Human Motion |
| Action-specific motion prior for efficient | bayesian | 3D human body tracking |
| Active | bayesian | color constancy with non-uniform sensors |
| Active Exploration Using | bayesian | Models for Multimodal Perception |
| active foveated gaze prediction algorithm based on a | bayesian | ideal observer, An |
| Active Fusion Using | bayesian | Networks Applied to Multitemporal Remote Sensing Imagery |
| Active Latent Space Shape Model: A | bayesian | Treatment of Shape Model Adaptation with an Application to Psoriatic Arthritis Radiographs |
| Active Lattice Model in a | bayesian | Framework, An |
| Active Learning for | bayesian | 3D Hand Pose Estimation |
| Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New | bayesian | Approach |
| Active recursive | bayesian | inference using Renyi information measures |
| Active Surveillance via Group Sparse | bayesian | Learning |
| Activity Recognition using Dynamic | bayesian | Networks with Automatic State Selection |
| Adaptive | bayesian | Decision-Model for Motion Segmentation |
| Adaptive | bayesian | Detection Using MIMO Radar in Spatially Heterogeneous Clutter |
| Adaptive | bayesian | Estimation with Cluster Structured Sparsity |
| Adaptive | bayesian | networks for video processing |
| Adaptive | bayesian | Recognition in Tracking Rigid Objects |
| Adaptive | bayesian | Source Separation Method for Intensity Estimation of Facial AUs, An |
| Adaptive | bayesian | Technique for Tracking Multiple Objects, An |
| Adaptive Derivative Free Method for | bayesian | Posterior Approximation, An |
| Adaptive earth movers distance-based | bayesian | multi-target tracking |
| Adaptive Filter to Approximate the | bayesian | Strategy for Sonographic Beamforming, An |
| Adaptive gating in gaussian | bayesian | multi-target tracking |
| Adaptive Mixture Estimation and Unsupervised Local | bayesian | Image Segmentation |
| Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative | bayesian | Estimation Approach |
| Adaptive Pattern-Coupled Sparse | bayesian | Learning for Channel Estimation in OTFS Systems |
| Adaptive Personalized Travel Information Systems: A | bayesian | Method to Learn Users' Personal Preferences in Multimodal Transport Networks |
| Adaptive Seabed Characterization With Hierarchical | bayesian | Modeling of SAS Imagery |
| Adaptive semantic | bayesian | framework for image attention |
| Adaptive Sequential | bayesian | Iterative Learning for Myocardial Motion Estimation on Cardiac Image Sequences |
| Adaptive Sparse | bayesian | Regression with Variational Inference for Parameter Estimation |
| Adaptive Sparse Vector Tracking Via Online | bayesian | Learning |
| Adaptive wavelet graph model for | bayesian | tomographic reconstruction |
| Additive Tree-Structured Conditional Parameter Spaces in | bayesian | Optimization: A Novel Covariance Function and a Fast Implementation |
| Address-block extraction by | bayesian | rule |
| ADMM for image restoration based on nonlocal simultaneous sparse | bayesian | coding |
| Advanced Dropout: A Model-Free Methodology for | bayesian | Dropout Optimization |
| Advanced Visual Surveillance Using | bayesian | Networks |
| Adversarial | bayesian | Augmentation for Single-Source Domain Generalization |
| Adversarial Defense Through High Frequency Loss Variational Autoencoder Decoder and | bayesian | Update With Collective Voting |
| Adversarial Example Detection | bayesian | Game |
| Aerodrome situational awareness of unmanned aircraft: an integrated self-learning approach with | bayesian | network semantic segmentation |
| Affine Invariant, Model-Based Object Recognition Using Robust Metrics and | bayesian | Statistics |
| Agricultural Expansion in Mato Grosso from 1986-2000: A | bayesian | Time Series Approach to Tracking Past Land Cover Change |
| Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical | bayesian | Approach |
| Airborne Passive Bistatic Radar Clutter Suppression Algorithm Based on Root Off-Grid Sparse | bayesian | Learning |
| Akaike and | bayesian | Information Criteria for Hidden Markov Models |
| Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a | bayesian | Model |
| Analysis of Driver's Behavioral Tendency Under Different Emotional States Based on a | bayesian | Network, The |
| Analysis of Lesion Detectability in | bayesian | Emission Reconstruction With Nonstationary Object Variability |
| Analysis of the Behavior of Genetic Algorithms When Learning | bayesian | Network Structure from Data |
| Analysis of the Spatial Variation of Network-Constrained Phenomena Represented by a Link Attribute Using a Hierarchical | bayesian | Model |
| Analytical Form for a | bayesian | Wavelet Estimator of Images Using the Bessel K Form Densities |
| Analytical Results on Style-Constrained | bayesian | Classification of Pattern Fields |
| Analyzing Local Spatio-Temporal Patterns of Police Calls-for-Service Using | bayesian | Integrated Nested Laplace Approximation |
| Annealed SMC Samplers for Nonparametric | bayesian | Mixture Models |
| Anti- | bayesian | parametric pattern classification using order statistics criteria for some members of the exponential family |
| Application of | bayesian | Network for Fuzzy Rule-Based Video Deinterlacing |
| Application of | bayesian | Ying-Yang Criteria for Selecting the Number of Hidden Units with Backpropagation Learning to Electrocardigram Classification |
| Application of Radar Fault Diagnosis Method Based on | bayesian | Network |
| Appraisal of Dynamic | bayesian | Model Averaging-based Merged Multi-Satellite Precipitation Datasets Over Complex Topography and the Diverse Climate of Pakistan, An |
| Approach to Outlier Detection Based on | bayesian | Probabilistic Model, An |
| Approximate | bayesian | computation, stochastic algorithms and non-local means for complex noise models |
| Approximate | bayesian | estimation of a 3D point pattern from multiple views |
| Approximate | bayesian | Long Short-Term Memory Algorithm for Outlier Detection, An |
| Approximate | bayesian | methods for kernel-based object tracking |
| Approximate | bayesian | Multibody Tracking |
| Approximate | bayesian | Smoothing with Unknown Process and Measurement Noise Covariances |
| Approximate Inference of Traffic Flow State at Signalized Intersections Using a | bayesian | Learning Framework |
| Approximating | bayesian | Belief Networks By Arc Removal |
| Approximating probabilistic inference in | bayesian | belief networks |
| Arbitrarily Tight Upper and Lower Bounds on the | bayesian | Probability of Error |
| Architectural design issues for | bayesian | contextual vision |
| Artificial Neural Network Enhanced | bayesian | PET Image Reconstruction |
| Aspect Learning for Multimedia Summarization via Nonparametric | bayesian | |
| Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a | bayesian | Framework |
| Assessment of CT Image Quality Using a | bayesian | Framework |
| Assessment of Negative Samples and Model Structures in Landslide Susceptibility Characterization Based on | bayesian | Network Models, An |
| Assimilating Multiresolution Leaf Area Index of Moso Bamboo Forest from MODIS Time Series Data Based on a Hierarchical | bayesian | Network Algorithm |
| Assimilation of Water Vapor Retrieved from Radar Reflectivity Data through the | bayesian | Method |
| Asymmetric filtering-based dense convolutional neural network for person re-identification combined with Joint | bayesian | and re-ranking |
| Asymptotic Analysis of Distributed | bayesian | Detection with Byzantine Data |
| Asymptotic | bayesian | Surface Estimation Using an Image Sequence |
| Asymptotic performance analysis of | bayesian | object recognition |
| Attentive Monitoring of Multiple Video Streams Driven by a | bayesian | Foraging Strategy |
| Audio-visual speaker detection using dynamic | bayesian | networks |
| Audio-Visual Speaker Diarization Based on Spatiotemporal | bayesian | Fusion |
| Augmented Region-Growing-Based Motion Tracking Using | bayesian | Inference For Quasi-Static Ultrasound Elastography |
| Augmenting 3D Ultrasound Strain Elastography by combining | bayesian | inference with local Polynomial fitting in Region-growing-based Motion Tracking |
| Automated 3D object identification using | bayesian | networks |
| Automated Design of | bayesian | Perceptual Inference Networks |
| Automated Extraction of Mutual Independence Patterns Using | bayesian | Comparison of Partition Models |
| Automated Identification of Man-Made Textural Features on Satellite Imagery by | bayesian | Networks |
| Automated Muscle Segmentation from Clinical CT Using | bayesian | U-Net for Personalized Musculoskeletal Modeling |
| Automated rig removal with | bayesian | motion interpolation |
| Automated segmentation of stromal tissue in histology images using a voting | bayesian | model |
| Automatic 3D Facial Expression Recognition Based on a | bayesian | Belief Net and a Statistical Facial Feature Model |
| Automatic Alignment of High-Resolution NMR Spectra Using a | bayesian | Estimation Approach |
| Automatic Annotation of Airborne Images by Label Propagation Based on a | bayesian | -CRF Model |
| Automatic Aorta Detection in Non-contrast 3D Cardiac CT Images Using | bayesian | Tracking Method |
| Automatic | bayesian | Knot Placement for Spline Fitting |
| Automatic detection of subcellular particles in fluorescence microscopy via feature clustering and | bayesian | analysis |
| Automatic Generation of | bayesian | Nets for 3D Object Recognition |
| Automatic Meeting Segmentation Using Dynamic | bayesian | Networks |
| automatic muscle fiber orientation tracking algorithm using | bayesian | Kalman Filter for ultrasound images, An |
| Automatic Muscle Fiber Orientation Tracking in Ultrasound Images Using a New Adaptive Fading | bayesian | Kalman Smoother |
| Automatic Quality Assessment of GIS Road Data using Aerial Imagery: A Comparison between | bayesian | and Evidential Reasoning |
| Automatically mining Relevant Variable Interactions Via Sparse | bayesian | Learning |
| Background Subtraction in Videos using | bayesian | Learning with Motion Information |
| BALAS: Empirical | bayesian | learning in the relevance feedback for image retrieval |
| BaLeNAS: Differentiable Architecture Search via the | bayesian | Learning Rule |
| BANSAC: A dynamic | bayesian | Network for adaptive SAmple Consensus |
| BASSUM: A | bayesian | semi-supervised method for classification feature selection |
| Batch-Incremental Triplet Sampling for Training Triplet Networks Using | bayesian | Updating Theorem |
| Bayes R-CNN: An Uncertainty-Aware | bayesian | Approach to Object Detection In Remote Sensing Imagery for Enhanced Scene Interpretation |
| Bayes-CAL: Robust Cross-Modal Alignment by | bayesian | Approach for Few-Shot OoD Generalization |
| Bayes-Factor-VAE: Hierarchical | bayesian | Deep Auto-Encoder Models for Factor Disentanglement |
| BayesCap: A | bayesian | Approach to Brain Tumor Classification Using Capsule Networks |
| BayesCap: | bayesian | Identity Cap for Calibrated Uncertainty in Frozen Neural Networks |
| bayesian | 3D ConvNets for Action Recognition from Few Examples |
| bayesian | 3D Human Body Pose Tracking from Depth Image Sequences |
| bayesian | 3D model based human detection in crowded scenes using efficient optimization |
| bayesian | 3D Modeling from Images Using Multiple Depth Maps |
| bayesian | 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data |
| bayesian | 3D Tracking from Monocular Video |
| bayesian | Active Appearance Models |
| bayesian | Active Contours with Affine-Invariant, Elastic Shape Prior |
| bayesian | Active Learning for Choice Models With Deep Gaussian Processes |
| bayesian | Active Learning for Keyword Spotting in Handwritten Documents |
| bayesian | Active Learning for Maximal Information Gain on Model Parameters |
| bayesian | Active Remote Sensing Image Classification |
| bayesian | adaptation for user-dependent multimodal biometric authentication |
| bayesian | Adaptation of Hidden Layers in Boolean Feedforward Neural Networks |
| bayesian | adaptive algorithm for fast coding unit decision in the High Efficiency Video Coding (HEVC) standard |
| bayesian | Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution |
| bayesian | adaptive matrix factorization with automatic model selection |
| bayesian | Adaptive Superpixel Segmentation |
| bayesian | adaptive weighted total generalized variation model for image restoration, A |
| bayesian | Adversarial Human Motion Synthesis |
| bayesian | Adversarial Spectral Clustering With Unknown Cluster Number |
| bayesian | Algorithm for Reading 1D Barcodes, A |
| bayesian | algorithm for tracking multiple moving objects in outdoor surveillance video, A |
| bayesian | algorithms for adaptive change detection in image sequences using Markov random fields |
| bayesian | Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging |
| bayesian | Algorithms for Simultaneous Structure From Motion Estimation of Multiple Independently Moving Objects |
| bayesian | analysis for fusion of data from disparate imaging systems for surveillance |
| bayesian | Analysis of Behaviors and Interactions for Situation Awareness in Transportation Systems |
| bayesian | Analysis of Cell Nucleus Segmentation by a Viterbi Search Based Active Contour |
| bayesian | Analysis of Lidar Signals with Multiple Returns |
| bayesian | Analysis of Uncertainty in the GlobCover 2009 Land Cover Product at Climate Model Grid Scale |
| bayesian | and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures |
| bayesian | and Neural Networks for Geographic Information-Processing |
| bayesian | and non-Bayesian probabilistic models for medical image analysis |
| bayesian | and non-Bayesian probabilistic models for medical image analysis |
| bayesian | and Regularization Methods for Hyperparameter Estimation in Image Restoration |
| bayesian | and Statistical Approaches to Vision |
| bayesian | approach for 3D models retrieval based on characteristic views, A |
| bayesian | Approach for a Robust Speed-of-Sound Reconstruction Using Pulse-Echo Ultrasound |
| bayesian | Approach for Affine Auto-calibration, A |
| bayesian | Approach for Anti-Scatter Grid Extraction in x-ray Imaging, A |
| bayesian | Approach for Automatic Joint Parameter Estimation in 3D Image Reconstruction from Multi-Focus Microscope |
| bayesian | Approach for Building Detection in Densely Build-Up High Resolution Satellite Image, A |
| bayesian | Approach for False Positive Reduction in CTC CAD, A |
| bayesian | Approach for Forecasting the Probability of Large Earthquakes Using Thermal Anomalies from Satellite Observations, A |
| bayesian | Approach for Image Segmentation with Shape Priors, A |
| bayesian | Approach for Morphology-Based 2-D Human Motion Capture |
| bayesian | approach for natural image denoising, A |
| bayesian | approach for near-duplicate image detection |
| bayesian | Approach for Reconstruction of Moving Brain Dipoles |
| bayesian | Approach for Scene Interpretation with Integrated Hierarchical Structure, A |
| bayesian | Approach for Segmentation in Stereo Image Sequences, A |
| bayesian | Approach for Shadow Extraction from a Single Image, A |
| bayesian | Approach for Stochastic White Matter Tractography, A |
| bayesian | Approach for the Estimation and Transmission of Regularization Parameters for Reducing Blocking Artifacts, A |
| bayesian | approach for the multifractal analysis of spatio-temporal data, A |
| bayesian | Approach for the Segmentation of SAR Images Using Dynamically Selected Neighborhoods, A |
| bayesian | approach for user aware peer-to-peer video streaming systems, A |
| bayesian | Approach in Kendall Shape Space for Plant Species Classification |
| bayesian | Approach on People Localization in Multicamera Systems, A |
| bayesian | Approach to 3D Surface Fitting and Refinement, A |
| bayesian | approach to adaptive video super resolution, A |
| bayesian | Approach to Alignment-Based Image Hallucination, A |
| bayesian | Approach to Audio-Visual Speaker Identification, A |
| bayesian | Approach to Automated Creation of Tactile Facial Images, A |
| bayesian | Approach to Background Modeling, A |
| bayesian | Approach to Building Footprint Extraction from Aerial LIDAR Data, A |
| bayesian | Approach to Camouflaged Moving Object Detection, A |
| bayesian | approach to change points detection in time series |
| bayesian | Approach to Classification of Multiresolution Remote Sensing Data, A |
| bayesian | Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection, A |
| bayesian | Approach to Deformed Pattern Matching of Iris Images, A |
| bayesian | Approach to Digital Matting, A |
| bayesian | Approach to Edge Detection in Images, A |
| bayesian | Approach to Eigenspectra Optoacoustic Tomography, A |
| bayesian | Approach to Error Concealment in Encoded Video Streams, A |
| bayesian | Approach to Estimate the Spatial Distribution of Crowdsourced Radiation Measurements around Fukushima, A |
| bayesian | Approach to Face Hallucination Using DLPP and KRR, A |
| bayesian | Approach to Human Activity Recognition, A |
| bayesian | Approach to Hybrid Image Retrieval, A |
| bayesian | approach to image expansion for improved definition, A |
| bayesian | Approach to Image Interpretation |
| bayesian | Approach to Image Recognition Based on Separable Lattice Hidden Markov Models, A |
| bayesian | approach to image-based visual hull reconstruction, A |
| bayesian | approach to inclusion and performance analysis of using extra information in bioelectric inverse problems, A |
| bayesian | approach to inferring vascular tree structure from 2d imagery, A |
| bayesian | Approach to Joint Feature Selection and Classifier Design, A |
| bayesian | approach to joint tracking and identification of geometric shapes in video sequences, A |
| bayesian | Approach to Landmark Discovery and Active Perception in Mobile Robot Navigation, A |
| bayesian | Approach to Learn and Classify 3D Objects from Intensity Images, A |
| bayesian | approach to learn Bayesian networks using data and constraints |
| bayesian | approach to learn Bayesian networks using data and constraints |
| bayesian | Approach to Linear Unmixing in the Presence of Highly Mixed Spectra, A |
| bayesian | Approach to Multi-view 4D Modeling, A |
| bayesian | Approach to Multimodal Visual Dictionary Learning, A |
| bayesian | Approach to Object Detection in Sidescan Sonar |
| bayesian | Approach to Object Identification in Pattern Recognition, A |
| bayesian | Approach to Oil Slicks Edge Detection Based on SAR Data, A |
| bayesian | Approach to OOD Robustness in Image Classification, A |
| bayesian | Approach to Optimal Sensor Placement, A |
| bayesian | Approach to Parameter Estimation and Interpolation of Time Varying Autoregressive Processes Using the Gibbs Sampler |
| bayesian | Approach to Perfusion Imaging Using ASL MRI, A |
| bayesian | Approach to Photo Time-Stamp Recognition |
| bayesian | Approach to Policy Recognition and State Representation Learning, A |
| bayesian | approach to predicting the perceived interest of objects, A |
| bayesian | Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain, A |
| bayesian | Approach to Recurrence in Neural Networks, A |
| bayesian | Approach to Reinforcement Learning of Vision-Based Vehicular Control, A |
| bayesian | approach to shape from coded aperture, A |
| bayesian | approach to simultaneous motion estimation of multiple independently moving objects, A |
| bayesian | approach to simultaneously recover camera pose and non-rigid shape from monocular images, A |
| bayesian | Approach to Sparse Model Selection in Statistical Shape Models, A |
| bayesian | Approach to Spread Spectrum Watermark Detection and Secure Copyright Protection for Digital Image Libraries, A |
| bayesian | Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images, A |
| bayesian | approach to the aperture problem of 3D motion perception, A |
| bayesian | Approach to the Hough Transform for Line Detection, A |
| bayesian | approach to the Lee-Seung update rules for NMF, A |
| bayesian | Approach to Tracking Learning Detection, A |
| bayesian | approach to traffic light detection and mapping, A |
| bayesian | Approach to Tree Detection Based on Airborne Laser Scanning Data |
| bayesian | Approach to Uncertainty-Based Depth Map Super Resolution, A |
| bayesian | Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation, A |
| bayesian | approach to unsupervised one-shot learning of object categories, A |
| bayesian | Approach to Video Object Segmentation via Merging 3-D Watershed Volumes, A |
| bayesian | Approach to Visual Size Classification of Everyday Objects, A |
| bayesian | Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting, A |
| bayesian | Approach With Hidden Markov Modeling and Mean Field Approximation for Hyperspectral Data Analysis |
| bayesian | approach with nonlinear kernels to feature extraction |
| bayesian | Approaches to Gaussian Mixture Modeling |
| bayesian | assembly of 3D axially symmetric shapes from fragments |
| bayesian | asymmetric quantized neural networks |
| bayesian | Autocalibration for Surveillance |
| bayesian | Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models |
| bayesian | background modeling for foreground detection |
| bayesian | background models for keyword spotting in handwritten documents |
| bayesian | based 3D shape reconstruction from video |
| bayesian | Based Method to Generate a Synergetic Land-Cover Map from Existing Land-Cover Products, A |
| bayesian | based view synthesis for multi-planar structures |
| bayesian | belief network for positive unlabeled learning with uncertainty |
| bayesian | belief network learning algorithms for modeling contextual relationships in natural imagery: a comparative study |
| bayesian | Best-First Search for Pattern Recognition: Application to Address Recognition |
| bayesian | bi-gram scheme for HMM online handwriting recognition algorithm, A |
| bayesian | Bias Correction of Satellite Rainfall Estimates for Climate Studies |
| bayesian | Bio-inspired Model for Learning Interactive Trajectories |
| bayesian | Bistatic ISAR Imaging for Targets With Complex Motion Under Low SNR Condition |
| bayesian | Blind Deconvolution From Differently Exposed Image Pairs |
| bayesian | Blind Deconvolution with General Sparse Image Priors |
| bayesian | Blind Identification of Nonlinear Distortion with Memory for Audio Applications |
| bayesian | Blind Image Deconvolution using an Hyperbolic-Secant prior |
| bayesian | Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors |
| bayesian | Blind Source Separation for Brain Imaging |
| bayesian | Block-Wise Segmentation of Interframe Differences in Video Sequences |
| bayesian | Body Localization Using Mixture of Nonlinear Shape Models |
| bayesian | boosting theorem, A |
| bayesian | Calibration of the Aquacrop-OS Model for Durum Wheat by Assimilation of Canopy Cover Retrieved from VENµS Satellite Data |
| bayesian | Calibration of the Intelligent Driver Model |
| bayesian | Chan-Vese segmentation for iris segmentation |
| bayesian | change detection based on spatial sampling and Gaussian mixture model |
| bayesian | Characterization of Uncertainty in Multi-modal Image Registration |
| bayesian | Class-Matched Multinet Classifier |
| bayesian | Classification and Class Area Estimation of Satellite Images Using Stratification |
| bayesian | classification for data from the same unknown class |
| bayesian | classification for the Statistical Hough transform |
| bayesian | Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis |
| bayesian | classification of eigencells |
| bayesian | Classification of Image Structures |
| bayesian | Classification of Task-Oriented Actions Based on Stochastic Context-Free Grammar |
| bayesian | Classification With Gaussian Processes |
| bayesian | classifier calibration based on synthesized samples for zero-shot Chinese character recognition |
| bayesian | Cloud Detection for 37 Years of Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Data |
| bayesian | Cloud Detection over Land for Climate Data Records |
| bayesian | Clustering for Unsupervised Estimation of Surface and Texture Models |
| bayesian | Clustering of Fuzzy Feature Vectors Using a Quasi-Likelihood Approach |
| bayesian | clustering of optical flow fields |
| bayesian | Clustering, Bayes Classifier |
| bayesian | Collaborative Learning for Whole-Slide Image Classification |
| bayesian | Color Constancy |
| bayesian | Color Constancy for Outdoor Object Recognition |
| bayesian | color constancy revisited |
| bayesian | Community Detection in the Space of Group-Level Functional Differences |
| bayesian | Compatibility Model for Graph Matching, A |
| bayesian | compression for dynamically expandable networks |
| bayesian | Compressive Sensing Approaches for the Reconstruction of Two-Dimensional Sparse Scatterers Under TE Illuminations |
| bayesian | Compressive Sensing for NLOS mmWave Imaging Under Imprecisely Multiangle Surfaces |
| bayesian | Compressive Sensing Using Laplace Priors |
| bayesian | Compressive Sensing Using Normal Product Priors |
| bayesian | compressive sensing using wavelet based Markov random fields |
| bayesian | Computer Vision System for Modeling Human Interactions, A |
| bayesian | Constrained Local Models Revisited |
| bayesian | constrained local models with depth data |
| bayesian | Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery |
| bayesian | Contrast Measures and Clutter Distribution Determinants of Human Target Detection |
| bayesian | Convolutional Neural Networks for Seismic Facies Classification |
| bayesian | Corner Detection |
| bayesian | corner detector, A |
| bayesian | Corner Detector: Theory and Performance Evaluation, A |
| bayesian | Correction of Image Intensity with Spatial Consideration |
| bayesian | Correlation Filter Learning With Gaussian Scale Mixture Model for Visual Tracking |
| bayesian | Cost Function Applied to Model-Based Registration of Sub-cortical Brain Structures, A |
| bayesian | CP Factorization of Incomplete Tensors with Automatic Rank Determination |
| bayesian | Critique-Tune-based Reinforcement Learning With Adaptive Pressure for Multi-Intersection Traffic Signal Control |
| bayesian | Cut, The |
| bayesian | Data Combination for the Estimation of Ionospheric Effects in SAR Interferograms |
| bayesian | data fusion and inversion in X-ray multi-energy computed tomography |
| bayesian | Data Fusion Approach to Spatio-Temporal Fusion of Remotely Sensed Images, A |
| bayesian | Data Fusion for Adaptable Image Pansharpening |
| bayesian | Data Fusion of Multiview Synthetic Aperture Sonar Imagery for Seabed Classification |
| bayesian | deblurring with integrated noise estimation |
| bayesian | Decision Theoretic Approach for Adaptive Goal-Directed Sensing, A |
| bayesian | Decision Theory, the Maximum Local Mass Estimate |
| bayesian | decision versus voting for image retrieval |
| bayesian | Decision-Feedback for Segmentation of Binary Images |
| bayesian | Deep Basis Fitting for Depth Completion with Uncertainty |
| bayesian | Deep CNN Framework for Reconstructing k-t-Undersampled Resting-fMRI, A |
| bayesian | Deep Learning Approach for Real-Time Lane-Based Arrival Curve Reconstruction at Intersection Using License Plate Recognition Data |
| bayesian | Deep Learning for Aircraft Hard Landing Safety Assessment |
| bayesian | Deep Learning for Image Reconstruction: From structured sparsity to uncertainty estimation |
| bayesian | Deep Learning Framework for End-To-End Prediction of Emotion From Heartbeat, A |
| bayesian | deep prior-based quaternion matrix completion for color image inpainting, A |
| bayesian | Defogging |
| bayesian | DeNet: Monocular Depth Prediction and Frame-Wise Fusion With Synchronized Uncertainty |
| bayesian | Denoising Algorithm for Low SNR Photon-Counting Lidar Data via Probabilistic Parameter Optimization Based on Signal and Noise Distribution |
| bayesian | Denoising Based on the Map Estimation In Wavelet-Domain Using Bessel K Form Prior |
| bayesian | denoising hashing for robust image retrieval |
| bayesian | denoising in the wavelet-domain using an analytical approximate alpha-stable prior |
| bayesian | denoising of ultrasound images using heavy-tailed Levy distribution |
| bayesian | Denoising of Visual Images in the Wavelet Domain |
| bayesian | Denoising: From MAP to MMSE Using Consistent Cycle Spinning |
| bayesian | dense motion field estimation with landmark constraint |
| bayesian | Depth-from-Defocus with Shading Constraints |
| bayesian | Detection of Coding Regions in DNA/RNA Sequences Through Event Factoring |
| bayesian | Detection of Distributed Targets for FDA-MIMO Radar in Gaussian Interference |
| bayesian | detection of the fovea in eye fundus angiographies |
| bayesian | Detector Combination for Object Detection with Crowdsourced Annotations |
| bayesian | dictionary learning for hyperspectral image super resolution in mixed Poisson-Gaussian noise |
| bayesian | Differentiable Physics for Cloth Digitalization |
| bayesian | Differentiation of Multi-scale Line-Structures for Model-Free Instrument Segmentation in Thoracoscopic Images |
| bayesian | Diffusion Models for 3D Shape Reconstruction |
| bayesian | Diffusion Tensor Estimation with Spatial Priors |
| bayesian | Direction of Arrival Estimation with Prior Knowledge from Target Tracker |
| bayesian | discounting of camera parameter uncertainty for optimal 3D reconstruction from images |
| bayesian | Discriminating Features Method for Face Detection, A |
| bayesian | Distributed Target Detectors in Compound-Gaussian Clutter Against Subspace Interference with Limited Training Data |
| bayesian | Draughtsman: A Model for Visuomotor Coordination in Drawing, The |
| bayesian | dual-pathway network for unsupervised domain adaptation, A |
| bayesian | Dumbbell Diffusion Model for RGBT Object Tracking With Enriched Priors |
| bayesian | Early Mode Decision Technique for View Synthesis Prediction-Enhanced Multiview Video Coding |
| bayesian | Edge Regularization in Range Image Segmentation |
| bayesian | EM algorithm for optimal tracking of a maneuvering target in clutter, A |
| bayesian | Embeddings for Few-Shot Open World Recognition |
| bayesian | Epipolar Geometry Estimation from Tomographic Projections |
| bayesian | Error Concealment With DCT Pyramid for Images |
| bayesian | Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning |
| bayesian | Estimation Approach to Super-Resolution Reconstruction for Face Images, A |
| bayesian | Estimation Based Mumford-Shah Regularization for Blur Identification and Segmentation in Video Sequences |
| bayesian | Estimation for Homogeneous and Inhomogeneous Gaussian Random Fields |
| bayesian | Estimation for Optimized Structured Illumination Microscopy |
| bayesian | Estimation of a Gaussian Source in Middleton's Class-A Impulsive Noise |
| bayesian | Estimation of Beta Mixture Models with Variational Inference |
| bayesian | Estimation of Building Shape Using MCMC, A |
| bayesian | Estimation of Common Areas in Multi-Camera Systems |
| bayesian | Estimation of Deformation and Elastic Parameters in Non-rigid Registration |
| bayesian | estimation of Dirichlet mixture model with variational inference |
| bayesian | estimation of distance and surface normal with a time-of-flight laser rangefinder |
| bayesian | estimation of edge orientations in junctions |
| bayesian | estimation of generalized Gamma mixture model based on variational EM algorithm |
| bayesian | Estimation of Human Impedance and Motion Intention for Human-Robot Collaboration |
| bayesian | Estimation of Intrinsic Tissue Oxygenation and Perfusion From RGB Images |
| bayesian | Estimation of Land Deformation Combining Persistent and Distributed Scatterers |
| bayesian | Estimation of Layers from Multiple Images |
| bayesian | Estimation of Linear Mixtures Using the Normal Compositional Model: Application to Hyperspectral Imagery |
| bayesian | Estimation of Motion Vector Fields |
| bayesian | estimation of regularization and point spread function parameters for Wiener-Hunt deconvolution |
| bayesian | Estimation of Smooth Altimetric Parameters: Application to Conventional and Delay/Doppler Altimetry |
| bayesian | Estimation of Subpixel-Resolution Motion Fields and High-Resolution Video Stills |
| bayesian | Estimation of the von-Mises Fisher Mixture Model with Variational Inference |
| bayesian | Estimation of Turbulent Motion |
| bayesian | Estimation of Ventricular Contours in Angiographic Images |
| bayesian | Estimation With Distance Bounds |
| bayesian | evaluation framework for subjectively annotated visual recognition tasks, A |
| bayesian | Evidential Deep Learning for Online Action Detection |
| bayesian | Example Based Segmentation using a Hybrid Energy Model |
| bayesian | Exploration of Pre-Trained Models for Low-Shot Image Classification |
| bayesian | Exponential Inverse Document Frequency and Region-of-Interest Effect for Enhancing Instance Search Accuracy |
| bayesian | extraction of differential surface structure |
| bayesian | face recognition |
| bayesian | face recognition based on gaussian mixture models |
| bayesian | Face Recognition Based on Markov Random Field Modeling |
| bayesian | face recognition using 2D Gaussian-Hermite moments |
| bayesian | face recognition using a Markov chain Monte Carlo method |
| bayesian | Face Recognition Using Deformable Intensity Surfaces |
| bayesian | face recognition using support vector machine and face clustering |
| bayesian | face recognition with deformable image models |
| bayesian | Face Revisited: A Joint Formulation |
| bayesian | Face Sketch Synthesis |
| bayesian | FDOA Positioning with Correlated Measurement Noise |
| bayesian | Feature and Model Selection for Gaussian Mixture Models |
| bayesian | feature evaluation for visual saliency estimation |
| bayesian | Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-thoratic Ratio |
| bayesian | feature selection and model detection for student's t-mixture distributions |
| bayesian | Federated Learning Framework With Online Laplace Approximation, A |
| bayesian | Feedback in Data Clustering |
| bayesian | filter based behavior recognition in workflows allowing for user feedback |
| bayesian | Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling, A |
| bayesian | Filtering Framework for Continuous Affect Recognition From Facial Images, A |
| bayesian | Filtering of Poisson Noise Using Local Statistics |
| bayesian | Filtering Technique for SAR Interferometric Phase Fields, A |
| bayesian | Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos |
| bayesian | foreground segmentation and tracking using pixel-wise background model and region based foreground model |
| bayesian | Formulation for Multi-Bernoulli Random Finite Sets in Multi-Target Tracking, A |
| bayesian | formulation for sub-pixel refinement in stereo orbital imagery, A |
| bayesian | Formulation of Coherent Point Drift, A |
| bayesian | Formulation of Gradient Orientation Matching |
| bayesian | Formulation of Image Patch Matching Using Cross-correlation |
| bayesian | forward regularization replacing Ridge in online randomized neural network with multiple output layers |
| bayesian | frame interpolation by fusing multiple motion-compensated prediction frames |
| bayesian | framework based additive intrinsic components optimization deformable model for image segmentation |
| bayesian | Framework Based Direct Reconstruction of Fluorescence Parametric Images |
| bayesian | framework for 3D models retrieval based on characteristic views, A |
| bayesian | framework for 3D surface estimation, A |
| bayesian | Framework for Accurate Eye Center Localization, A |
| bayesian | Framework for Active Artificial Perception, A |
| bayesian | Framework for Atrial LAT Estimation in ECGI |
| bayesian | Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs, A |
| bayesian | framework for automatic concept discovery in image collections, A |
| bayesian | Framework for Clustered Federated Learning, A |
| bayesian | Framework for Constructing Probability-Distributions on the Space of Image Segmentations, A |
| bayesian | Framework for Deformable Pattern Recognition with Application to Handwritten Character Recognition |
| bayesian | Framework for Extracting Human Gait Using Strong Prior Knowledge, A |
| bayesian | framework for fusing multiple word knowledge models in videotext recognition, A |
| bayesian | framework for Gaussian mixture background modeling, A |
| bayesian | framework for hierarchical relaxation, A |
| bayesian | Framework for Image Segmentation With Spatially Varying Mixtures, A |
| bayesian | Framework for Intent Detection and Stimulation Selection in SSVEP BCIs, A |
| bayesian | Framework for Modeling Accents in Handwriting, A |
| bayesian | Framework for Multi-cue 3D Object Tracking, A |
| bayesian | Framework for Multilead SMD Post-Placement Quality Inspection, A |
| bayesian | Framework for Noise Covariance Estimation Using the Facet Model, A |
| bayesian | Framework for Online Interaction Classification, A |
| bayesian | Framework for Radar Shape-from-Shading, A |
| bayesian | framework for recursive object removal in movie post-production, A |
| bayesian | Framework For Regularization, A |
| bayesian | framework for robust human detection and occlusion handling using human shape model, A |
| bayesian | Framework for Semantic Content Characterization, A |
| bayesian | Framework for Simultaneous Matting and 3D Reconstruction, A |
| bayesian | framework for solving transform invariant low-rank textures |
| bayesian | Framework for Sparse Representation-Based 3-D Human Pose Estimation, A |
| bayesian | Framework for the Analog Reconstruction of Kymographs From Fluorescence Microscopy Data, A |
| bayesian | Framework for the Local Configuration of Retinal Junctions, A |
| bayesian | Framework for Video Surveillance Application |
| bayesian | Framework to Quantify Uncertainty in Aerosol Optical Model Selection Applied to TROPOMI Measurements, A |
| bayesian | Function Learning Using MCMC Methods |
| bayesian | fused classification of medical images |
| bayesian | fusion of camera metadata cues in semantic scene classification |
| bayesian | Fusion of Color and Texture Segmentations |
| bayesian | fusion of Hidden Markov Models for understanding bimanual movements |
| bayesian | Fusion of Multi-Scale Detectors for Road Extraction from SAR Images |
| bayesian | fusion of multispectral and hyperspectral images with unknown sensor spectral response |
| bayesian | Gabor Network With Uncertainty Estimation for Pedestrian Lane Detection in Assistive Navigation |
| bayesian | Gait-Based Gender Identification (BGGI) Network on Individuals Wearing Loosely Fitted Clothing |
| bayesian | Game Based Approach for Associating the Nodes to the Gateway in LoRa Network, A |
| bayesian | Gaussian Mixture Model for Probabilistic Modeling of Car-Following Behaviors, A |
| bayesian | Gaussian Process Classification with the EM-EP Algorithm |
| bayesian | geometric modeling of indoor scenes |
| bayesian | GOETHE Tracking |
| bayesian | Grammar Learning for Inverse Procedural Modeling |
| bayesian | Graph Convolution LSTM for Skeleton Based Action Recognition |
| bayesian | Graph Edit Distance |
| bayesian | graph-cut optimization for wall surfaces reconstruction in indoor environments |
| bayesian | grid matching |
| bayesian | grouplet transform, A |
| bayesian | Harmonic Modelling of Sparse and Irregular Satellite Remote Sensing Time Series of Vegetation Indexes: A Story of Clouds and Fires |
| bayesian | Helmholtz Stereopsis with Integrability Prior |
| bayesian | Hemodynamic Parameter Estimation by Bolus Tracking Perfusion Weighted Imaging |
| bayesian | Hierarchical Dynamic Model for Human Action Recognition |
| bayesian | Hierarchical Factorization Model for Vector Fields, A |
| bayesian | Hierarchical Model for Learning Natural Scene Categories, A |
| bayesian | Hierarchical Regression Models for QoE Estimation and Prediction in Audiovisual Communications |
| bayesian | High Resolution Range Profile Reconstruction of High-Speed Moving Target from Under-Sampled Data |
| bayesian | high-order tensor factorization for learning the hidden low-rank structure |
| bayesian | High-resolution Reconstruction of Low-resolution Compressed Video |
| bayesian | Hill-Climbing Attack and Its Application to Signature Verification |
| bayesian | Human Motion Intentionality Prediction in urban environments |
| bayesian | human segmentation in crowded situations |
| bayesian | Hybrid Attention Module for Underwater Acoustic Target Recognition, A |
| bayesian | hybrid generative discriminative learning based on finite Liouville mixture models |
| bayesian | Hybrid Loss for Hyperspectral SISR Using 3D Wide Residual CNN |
| bayesian | Hydrometeor Classification Algorithm for C-Band Polarimetric Radar, A |
| bayesian | Hyperspectral and Multispectral Image Fusions via Double Matrix Factorization |
| bayesian | Hyperspectral Image Segmentation With Discriminative Class Learning |
| bayesian | hypothesis testing for pattern discrimination in brain decoding |
| bayesian | Identity Clustering |
| bayesian | Illumination-invariant Motion Detection |
| bayesian | image analysis framework for post-placement quality inspection of components, A |
| bayesian | Image Based 3D Pose Estimation |
| bayesian | image blind restoration based on differential evolution optimization |
| bayesian | Image Classification Using Markov Random-Fields |
| bayesian | image decomposition applied to relaxographic imaging |
| bayesian | Image Deconvolution and Denoising Using Complex Wavelets |
| bayesian | image denoising using two complementary discontinuity measures |
| bayesian | image enlargement for mixed-resolution video |
| bayesian | Image Interpolation Based on the Learning and Estimation of Higher Bandwavelet Coefficients |
| bayesian | image interpolation using Markov random fields driven by visually relevant image features |
| bayesian | Image Matting Using Infrared and Color Cues |
| bayesian | Image Modeling of cDNA Microarray Spots |
| bayesian | Image Reconstruction for Improving Detection Performance of Muon Tomography |
| bayesian | Image Reconstruction from Partial Image and Aliased Spectral Intensity Data |
| bayesian | Image Reconstruction in Quantitative Photoacoustic Tomography |
| bayesian | image reconstruction using a high-order interacting MRF model |
| bayesian | Image Recovery for Dendritic Structures Under Low Signal-to-Noise Conditions |
| bayesian | Image Restoration |
| bayesian | Image Restoration and Segmentation by Constrained Optimization |
| bayesian | Image Restoration in Astronomy: Application to Images of the Recent Collision of Comet Shoemaker-Levy-9 with Jupiter |
| bayesian | Image Restoration: An Application to Edge-Preserving Surface Recovery |
| bayesian | Image Retrieval System, PicHunter: Theory, Implementation, and Psychophysical Experiments, The |
| bayesian | image segmentation based on an inhomogeneous hidden markov random field |
| bayesian | Image Segmentation Using Gaussian Field Priors |
| bayesian | image segmentation using local iso-intensity structural orientation |
| bayesian | Image Segmentation Using MRF's Combined with Hierarchical Prior Models |
| bayesian | Image Segmentation Using Wavelet-Based Priors |
| bayesian | image segmentation with mean shift |
| bayesian | image separation with natural image prior |
| bayesian | Image Super-Resolution With Deep Modeling of Image Statistics |
| bayesian | Image-Reconstruction Using Image-Modeling Gibbs Priors |
| bayesian | Imaging Using Plug & Play Priors: When Langevin Meets Tweedie |
| bayesian | Imaging with Data-Driven Priors Encoded by Neural Networks |
| bayesian | Imitation of Human Behavior in Interactive Computer Games |
| bayesian | implementation of a Lagrangian macroscopic traffic flow model |
| bayesian | Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data |
| bayesian | Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC |
| bayesian | inference for inverse problems in signal and image processing and applications |
| bayesian | Inference for Layer Representation with Mixed Markov Random Field |
| bayesian | inference for multiband image segmentation via model-based cluster trees |
| bayesian | Inference for Neighborhood Filters With Application in Denoising |
| bayesian | Inference for Nonnegative Matrix Factor Deconvolution Models |
| bayesian | Inference for Post-Processing of Remote-Sensing Image Classification |
| bayesian | inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification |
| bayesian | Inference in Model-Based Machine Vision |
| bayesian | Inference in Wavelet Based Models |
| bayesian | Inference of Models and Hyperparameters for Robust Optical-Flow Estimation |
| bayesian | Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth |
| bayesian | Inference of Visual Motion Boundaries |
| bayesian | Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising |
| bayesian | Inferred Self-Attentive Aggregation for Multi-Shot Person Re-Identification |
| bayesian | Information Criterion for Signed Measurements With Application to Sinusoidal Signals |
| bayesian | Information Flow Approach to Image Segmentation, A |
| bayesian | integration of a discrete choice pedestrian behavioral model and image correlation techniques for automatic multi object tracking |
| bayesian | Integration of Face and Low-Level Cues for Foveated Video Coding |
| bayesian | Intent Prediction in Object Tracking Using Bridging Distributions |
| bayesian | Interface Detection in Very Shallow Chirp Seismic Data |
| bayesian | Interpretation for the Exponential Correlation Associative Memory, A |
| bayesian | Interpretation for the Hopfield Network, A |
| bayesian | Invariant Risk Minimization |
| bayesian | Inverse Regression for Vascular Magnetic Resonance Fingerprinting |
| bayesian | Inversion of Convolved Hidden Markov Models With Applications in Reservoir Prediction |
| bayesian | Inversion of Logging-While-Drilling Extra-Deep Directional Resistivity Measurements Using Parallel Tempering Markov Chain Monte Carlo Sampling |
| bayesian | Inversion of Time-Lapse Seismic AVO Data for Multimodal Reservoir Properties |
| bayesian | joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors |
| bayesian | Joint Matrix Decomposition for Data Integration with Heterogeneous Noise |
| bayesian | Joint Mixture Framework for the Integration of Anatomical Information in Functional Image Reconstruction, A |
| bayesian | Joint Modelling for Object Localisation in Weakly Labelled Images |
| bayesian | Joint Topic Modelling for Weakly Supervised Object Localisation |
| bayesian | k-Space-Time Reconstruction of MR Spectroscopic Imaging for Enhanced Resolution |
| bayesian | K-SVD Using Fast Variational Inference |
| bayesian | Kernel Methods for Analysis of Functional Neuroimages |
| bayesian | Kernel Tracking |
| bayesian | Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging |
| bayesian | Kriging Regression Method to Estimate Air Temperature Using Remote Sensing Data, A |
| bayesian | Labelling of Corners Using a Grey-Level Corner Image Model |
| bayesian | Language Model Adaptation for Personalized Speech Recognition |
| bayesian | Learning Based Approach for Clustering of Satellite Images, A |
| bayesian | Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation |
| bayesian | Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction |
| bayesian | Learning of Occupancy Grids |
| bayesian | Learning of Sparse Classifiers |
| bayesian | Learning of Sparse Multiscale Image Representations |
| bayesian | Learning with Gaussian Processes for Supervised Classification of Hyperspectral Data |
| bayesian | Learning, Bayes Network, Bayesian Networks |
| bayesian | Learning, Bayes Network, Bayesian Networks |
| bayesian | learning, global competition and unsupervised image segmentation |
| bayesian | Level Sets for Image Segmentation |
| bayesian | Local Binary Pattern texture descriptor, A |
| bayesian | logistic regression in pattern recognition problems under concept drift, The |
| bayesian | logistic regression with sparse general representation prior for multispectral image classification |
| bayesian | Loop for Synergistic Change Detection and Tracking |
| bayesian | Loss for Crowd Count Estimation With Point Supervision |
| bayesian | Low Rank Tensor Ring for Image Recovery |
| bayesian | Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination |
| bayesian | Machine Learning: EEG/MEG signal processing measurements |
| bayesian | MAP detection of extragalactic point sources in microwave astronomical images |
| bayesian | marker extraction for color watershed in segmenting microscopic images |
| bayesian | Matching Pursuit: A Finite-Alphabet Sparse Signal Recovery Algorithm for Quantized Compressive Sensing |
| bayesian | MCMC On-line Signature Verification, A |
| bayesian | Method for Building Frequent Landsat-Like NDVI Datasets by Integrating MODIS and Landsat NDVI |
| bayesian | Method for Fitting Parametric and Nonparametric Models to Noisy Data, A |
| bayesian | Method for Motion Segmentation and Tracking in Compressed Videos |
| bayesian | method for triangulation and its application to finding corresponding points, A |
| bayesian | method for type-specific quadric fitting, A |
| bayesian | Method for Upsizing Single Disdrometer Drop Size Counts for Rain Physics Studies and Areal Applications, A |
| bayesian | Methods for Adaptive Models |
| bayesian | Methods for Pharmacokinetic Models in Dynamic Contrast-Enhanced Magnetic Resonance Imaging |
| bayesian | Methods in Nonlinear Digital Image Restoration |
| bayesian | Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model |
| bayesian | Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data, A |
| bayesian | Mixture Model for Multi-View Face Alignment, A |
| bayesian | mixture of gaussian processes for data association problem |
| bayesian | MLP neural networks for image analysis |
| bayesian | Model Adaptation for Crowd Counts |
| bayesian | Model Averaging Ensemble Approach for Multi-Time-Ahead Groundwater Level Prediction Combining the GRACE, GLEAM, and GLDAS Data in Arid Areas |
| bayesian | Model Averaging for Satellite Precipitation Data Fusion: From Accuracy Estimation to Runoff Simulation |
| bayesian | Model Averaging of Naive Bayes for Clustering |
| bayesian | Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting |
| bayesian | model for brain tumor classification using clinical-based features, A |
| bayesian | Model for Crowd Escape Behavior Detection, A |
| bayesian | model for recognizing handwritten mathematical expressions, A |
| bayesian | Model Identification: Application to Building Reconstruction in Aerial Imagery |
| bayesian | model selection approach to fMRI activation detection, A |
| bayesian | Model Selection for Markov, Hidden Markov, and Multinomial Models |
| bayesian | Model Selection for Optical Flow Estimation |
| bayesian | Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation |
| bayesian | Model-Based Automatic Landmark Detection for Planar Curves |
| bayesian | Modeling of Crowd Dynamics by Aggregating Multiresolution Observations From UAVs and UGVs |
| bayesian | Modeling of Dynamic Scenes for Object Detection |
| bayesian | Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization |
| bayesian | Modeling of Uncertainty in Low-Level Vision |
| bayesian | modeling of video editing and structure: Semantic features for video summarization and browsing |
| bayesian | modelling of camera calibration and reconstruction |
| bayesian | Models of Graphs, Arrays and Other Exchangeable Random Structures |
| bayesian | models with spatial autocorrelation for bike sharing ridership variability based on revealed preference GPS trajectory data |
| bayesian | Morphological Peak Estimation and Its Application to Chromosome Counting Via Fluorescence in-Situ Hybridization |
| bayesian | Morphometry Algorithm, A |
| bayesian | motion blur identification using blur priori |
| bayesian | Motion Estimation and Interpolation in Interlaced Video Sequences |
| bayesian | MRF Framework for Labeling Terrain Using Hyperspectral Imaging, A |
| bayesian | MS Lesion Classification Modeling Regional and Local Spatial Information |
| bayesian | Multi-camera Surveillance |
| bayesian | Multi-Hyperplane Machine for Pattern Recognition |
| bayesian | Multi-object Tracking Using Motion Context from Multiple Objects |
| bayesian | Multi-scale Differential Optical Flow |
| bayesian | multichannel image restoration using compound Gauss-Markov random fields |
| bayesian | Multifractal Image Segmentation |
| bayesian | Multilateration |
| bayesian | multilevel random-effects model for estimating noise in image sensors |
| bayesian | Multimodal Fusion in Forensic Applications |
| bayesian | Multiple-Hypothesis Approach to Contour Grouping, A |
| bayesian | Multiple-Hypothesis Approach to Edge Grouping and Contour Segmentation, A |
| bayesian | Multiple-Hypothesis Tracking of Merging and Splitting Targets |
| bayesian | Multiresolution Algorithm for PET Reconstruction |
| bayesian | multivariate autoregressive models with structured priors |
| bayesian | myopic parallel MRI reconstruction |
| bayesian | Nested Neural Networks for Uncertainty Calibration and Adaptive Compression |
| bayesian | Network Approach for Combining Pitch and Reliable Spectral Envelope Features for Robust Speaker Verification, A |
| bayesian | Network Approach for Condition Monitoring of High-Speed Railway Catenaries, A |
| bayesian | Network Approach to Evaluating the Effectiveness of Modern Mine Hunting, A |
| bayesian | Network Approach to Mode Detection for Interactive Maps, A |
| bayesian | network approach to traffic flow forecasting, A |
| bayesian | network based sequential inference for diagnosis of diseases from retinal images, A |
| bayesian | network classification using spline-approximated kernel density estimation |
| bayesian | network classifier and hierarchical Gabor features for handwritten numeral recognition, A |
| bayesian | Network Classifiers |
| bayesian | network classifiers versus selective k-NN classifier |
| bayesian | network combiner for multimodal handwriting analysis in Alzheimer's disease detection, A |
| bayesian | Network Enhanced Prediction for Multiple Facial Feature Tracking |
| bayesian | network for 3d object recognition in range data, A |
| bayesian | network for combining descriptors: Application to symbol recognition, A |
| bayesian | Network for Flood Detection Combining SAR Imagery and Ancillary Data, A |
| bayesian | Network for Foreground Segmentation in Region Level, A |
| bayesian | Network for online evaluation of sparse features based multitarget tracking, A |
| bayesian | Network Framework for Real-Time Object Selection, A |
| bayesian | network framework for relational shape matching, A |
| bayesian | Network Model for Automatic and Interactive Image Segmentation, A |
| bayesian | network model of overall print quality: Construction and structural optimisation |
| bayesian | network modeling approach for cross media analysis, A |
| bayesian | Network Modeling for Improving Forest Growth Estimates |
| bayesian | network modeling of Hangul characters for on-line handwriting recognition |
| bayesian | network modeling of strokes and their relationships for on-line handwriting recognition |
| bayesian | Network Refinement Via Machine Learning Approach |
| bayesian | network structure learning and inference in indoor vs. outdoor image classification |
| bayesian | Network Structure Learning and Inference Methods for Handwriting |
| bayesian | Network Structure Learning by Recursive Autonomy Identification |
| bayesian | Network Structure Learning Using Causality |
| bayesian | network-based framework for semantic image understanding, A |
| bayesian | Network-Based Method to Alleviate the Ill-Posed Inverse Problem: A Case Study on Leaf Area Index and Canopy Water Content Retrieval, A |
| bayesian | networks as ensemble of classifiers |
| bayesian | networks classifiers applied to documents |
| bayesian | Networks for Edge Preserving Salt and Pepper Image Denoising |
| bayesian | Networks for Predicting IVF Blastocyst Development |
| bayesian | Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations |
| bayesian | networks for spatial learning: a workflow on using limited survey data for intelligent learning in spatial agent-based models |
| bayesian | Networks Learning Algorithms for Online Form Classification |
| bayesian | Networks to Combine Intensity and Color Information in Face Recognition |
| bayesian | Networks, Bayes Nets |
| bayesian | Networks-Based Defects Classes Discrimination in Weld Radiographic Images |
| bayesian | Neural Networks |
| bayesian | Neural Networks for Image Analysis |
| bayesian | Neural Networks with Weight Sharing Using Dirichlet Processes |
| bayesian | Neural-Network For Separating Similar Complex Handwritten Chinese Characters, A |
| bayesian | Non-Gaussian Mixture Analysis: Application to Eye Modeling, A |
| bayesian | Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal |
| bayesian | Non-Negative Matrix Factorization With Adaptive Sparsity and Smoothness Prior |
| bayesian | Non-Parametric Clustering of Ranking Data |
| bayesian | Non-parametric Image Segmentation with Markov Random Field Prior |
| bayesian | Non-parametric Inference for Manifold Based MoCap Representation |
| bayesian | Non-parametric Parsimonious Gaussian Mixture for Clustering |
| bayesian | non-parametric viewpoint to visual tracking, A |
| bayesian | Nonlinear Principal Component Analysis Using Random Fields |
| bayesian | Nonlocal Patch Tensor Factorization for Hyperspectral Image Super-Resolution |
| bayesian | Nonnegative Tensor Completion With Automatic Rank Determination |
| bayesian | Nonparametric Approach to Image Super-Resolution, A |
| bayesian | Nonparametric Clustering for Positive Definite Matrices |
| bayesian | Nonparametric Dictionary Learning for Compressed Sensing MRI |
| bayesian | Nonparametric Framework for Activity Recognition Using Accelerometer Data, A |
| bayesian | Nonparametric Intrinsic Image Decomposition |
| bayesian | Nonparametric Methods for Partially-Observable Reinforcement Learning |
| bayesian | Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images, A |
| bayesian | Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes, A |
| bayesian | Nonparametric Models for Multiway Data Analysis |
| bayesian | nonparametric Multiple Instance Regression |
| bayesian | Nonparametric Submodular Video Partition for Robust Anomaly Detection |
| bayesian | Object Detection in Dynamic Scenes |
| bayesian | object detection through level curves selection |
| bayesian | object extraction from uncalibrated image pairs |
| bayesian | Object Localisation in Images |
| bayesian | Object Recognition for the Analysis of Complex Forest Scenes in Airborne Laser Scanner Data |
| bayesian | object-level change detection in grayscale imagery |
| bayesian | Occlusion Model for Sequential Object Matching, A |
| bayesian | Oil Spill Segmentation of SAR Images Via Graph Cuts |
| bayesian | online learning on Riemannian manifolds using a dual model with applications to video object tracking |
| bayesian | Online Multitask Learning of Gaussian Processes |
| bayesian | Operating Point of the Canny Edge Detector, The |
| bayesian | Optimal Latent Projection for Noisy Image Restoration |
| bayesian | Optimization |
| bayesian | Optimization Based Deep Learning Models for Detection of Forest Fires |
| bayesian | Optimization for Fitting 3D Morphable Models of Brain Structures |
| bayesian | optimization for refining object proposals |
| bayesian | Optimization for Sparse Neural Networks With Trainable Activation Functions |
| bayesian | Optimization Framework for Neural Network Compression, A |
| bayesian | Optimization Meets Self-Distillation |
| bayesian | Optimization Method for Finding the Worst-Case Scenarios of Autonomous Vehicles, A |
| bayesian | optimization of the scale saliency filter |
| bayesian | Optimization with an Empirical Hardness Model for approximate Nearest Neighbour Search |
| bayesian | Optimization with Clustering and Rollback for CNN Auto Pruning |
| bayesian | Optimization With Tree Ensembles to Improve Depression Screening on Textual Datasets |
| bayesian | Optimized 1-Bit CNNs |
| bayesian | Order-Adaptive Clustering for Video Segmentation |
| bayesian | Order-Consistency Testing with Class Priors Derivation for Robust Change Detection |
| bayesian | Parameter Estimation in Image Reconstruction from Subsampled Blurred Observations |
| bayesian | part-based approach to 3D human pose and camera estimation, A |
| bayesian | Particle Tracking of Traffic Flows |
| bayesian | Path Inference Using Sparse GPS Samples With Spatio-Temporal Constraints |
| bayesian | Periodic Cramer-Rao Bound |
| bayesian | perspective for the registration of multiple 3D views |
| bayesian | Perspective on the Deep Image Prior, A |
| bayesian | Pixel Classification for Human Tracking |
| bayesian | Pixel Classification Using Spatially Variant Finite Mixtures and the Generalized EM Algorithm |
| bayesian | place recognition based on bag of objects for intelligent vehicle localisation |
| bayesian | plan-view map based approach for multiple-person detection and tracking, A |
| bayesian | Poisson regression for crowd counting |
| bayesian | Polytrees With Learned Deep Features for Multi-Class Cell Segmentation |
| bayesian | population coding of motor cortical activity using a Kalman filter |
| bayesian | Post-Model-Selection Estimation |
| bayesian | Posterior Approximation With Stochastic Ensembles |
| bayesian | Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models |
| bayesian | Posterior-Based Winter Wheat Yield Estimation at the Field Scale through Assimilation of Sentinel-2 Data into WOFOST Model |
| bayesian | postprocessing algorithm for dwt-based compressed image |
| bayesian | pot-assembly from fragments as problems in perceptual-grouping and geometric-learning |
| bayesian | Precalibration of a Large Stochastic Microsimulation Model |
| bayesian | predictive kernel discriminant analysis |
| bayesian | Predictive Method for Automatic Speech Segmentation, A |
| bayesian | Predictive Model for Clustering Data of Mixed Discrete and Continuous Type, A |
| bayesian | Predictor Combination for Lossless Image Compression |
| bayesian | Pressure Snake for Weld Defect Detection |
| bayesian | Procedure for Full-Resolution Quality Assessment of Pansharpened Products, A |
| bayesian | Procedures for Modeling Truck Route Choices |
| bayesian | Prompt Flow Learning for Zero-Shot Anomaly Detection |
| bayesian | Prompt Learning for Image-Language Model Generalization |
| bayesian | Quantification of Contrast-Enhanced Ultrasound Images With Adaptive Inclusion of an Irreversible Component |
| bayesian | query expansion for multi-camera person re-identification |
| bayesian | Range Segmentation Using Focus Cues |
| bayesian | Rationale for Energy Functionals, The |
| bayesian | Real-Time Optical Flow |
| bayesian | real-time perception algorithms on GPU: Real-time implementation of Bayesian models for multimodal perception using CUDA |
| bayesian | real-time perception algorithms on GPU: Real-time implementation of Bayesian models for multimodal perception using CUDA |
| bayesian | reasoning on qualitative descriptions from images and speech |
| bayesian | receiver operating characteristic metric for linear classifiers |
| bayesian | Recognition of Local 3-D Shape by Approximating Image Intensity Functions with Quadric Polynomials |
| bayesian | recognition of targets by parts in second generation forward looking infrared images |
| bayesian | reconstruction and use of anatomical a priori information for emission tomography |
| bayesian | Reconstruction for Transmission Tomography with Scale Hyperparameter Estimation |
| bayesian | reconstruction of 3D shapes and scenes from a single image |
| bayesian | Reconstruction of Color Images Acquired with a Single CCD |
| bayesian | reconstruction of fluorescent molecular tomography via iteration of measurements |
| bayesian | reconstruction of signals invariant under a space-group symmetry from Fourier transform magnitudes |
| bayesian | Reconstruction of Undersampled Multicoil HARDI |
| bayesian | Reconstruction Using a New Nonlocal MRF Prior for Count-Limited PET Transmission Scans |
| bayesian | Recursive Image Estimation |
| bayesian | Reference Model for Visual Time-Sharing Behaviour in Manual and Automated Naturalistic Driving, A |
| bayesian | Region Merging Probability for Parametric Image Models |
| bayesian | region selection for adaptive dictionary-based Super-Resolution |
| bayesian | Registration of Models Using FEM Eigenmodes |
| bayesian | regression selecting valuable subset from mixed bag training data |
| bayesian | Regularization |
| bayesian | Regularization in Nonlinear Imaging: Reconstructions From Experimental Data in Nonlinearized Microwave Tomography |
| bayesian | regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation |
| bayesian | regularized artificial neural network for fault detection and isolation in wind turbine |
| bayesian | regularized nonnegative matrix factorization based face features learning |
| bayesian | Relational Memory for Semantic Visual Navigation |
| bayesian | relevance feedback for content-based image retrieval |
| bayesian | relevance feedback for content-based image retrieval |
| bayesian | rendering with non-parametric multiscale prior model |
| bayesian | Resolution Enhancement of Compressed Video |
| bayesian | Resolution-enhancement Framework for Transform-coded Video |
| bayesian | Restoration Approach for Hyperspectral Images, A |
| bayesian | Restoration of Color Images using a Non-Homogenous Cross-Channel Prior |
| bayesian | Restoration of Noisy Images with the EM Algorithm |
| bayesian | Restoration Using a New Nonstationary Edge-Preserving Image Prior |
| bayesian | Road Estimation Using Onboard Sensors |
| bayesian | Robust Matrix Factorization for Image and Video Processing |
| bayesian | Robust Principal Component Analysis |
| bayesian | robust tensor completion via CP decomposition |
| bayesian | Route Choice Inference to Address Missed Bluetooth Detections |
| bayesian | rule based fast TU depth decision algorithm for high efficiency video coding |
| bayesian | Saliency Model for Focal Liver Lesion Enhancement and Detection |
| bayesian | Saliency via Low and Mid Level Cues |
| bayesian | salient object detection based on saliency driven clustering |
| bayesian | Sea Ice Detection Algorithm for CFOSAT |
| bayesian | Sea Ice Detection With the Advanced Scatterometer ASCAT |
| bayesian | Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band |
| bayesian | Segmentation Framework for Textured Visual Images, A |
| bayesian | Segmentation Methodology for Parametric Image-Models, A |
| bayesian | segmentation of Stereopairs, A |
| bayesian | segmentation supported by neighborhood configurations |
| bayesian | Segmentation via Asymptotic Partition Functions |
| bayesian | selection of scaling laws for motion modeling in images |
| bayesian | selection of the neighbourhood order for Gauss-Markov texture models |
| bayesian | Selective Median Filtering for Reduction of Impulse Noise in Digital Color Images |
| bayesian | Self-Calibration of a Moving Camera |
| bayesian | self-organising map for Gaussian mixtures |
| bayesian | Self-training for Semi-supervised 3d Segmentation |
| bayesian | Semantic Instance Segmentation in Open Set World |
| bayesian | Separation of Images Modeled With MRFs Using MCMC |
| bayesian | separation of wind power generation signals |
| bayesian | sequential face detection with automatic re-initialization |
| bayesian | Shape Estimation: Shape-from-Shading and Photometric Stereo Revisited |
| bayesian | Shape Localization for Face Recognition Using Global and Local Textures |
| bayesian | shape model for facial feature extraction and recognition |
| bayesian | Shape Models with Shape Priors for MRI Brain Segmentation |
| bayesian | Shared Component Spatial Modeling for Assessing the Shared and Age Group-Specific Mental Health Disorder Risk of Young and Old Age Groups: A Case Study of Toronto Neighborhoods, Canada |
| bayesian | similarity measure for deformable image matching, A |
| bayesian | Similarity Measure for Direct Image Matching, A |
| bayesian | Similarity Model Estimation for Approximate Recognized Text Search |
| bayesian | smoothing and filtering for multiframe, multiaspect target detection and tracking |
| bayesian | Soft Classification for Sub-Pixel Analysis: A Critical Evaluation |
| bayesian | solutions to non-Bayesian detection problems: Unification through fusion |
| bayesian | solutions to non-Bayesian detection problems: Unification through fusion |
| bayesian | Source Model for the 2022 Mw6.6 Luding Earthquake, Sichuan Province, China, Constrained by GPS and InSAR Observations, A |
| bayesian | Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States, A |
| bayesian | sparse hierarchical model for image denoising |
| bayesian | Sparse Inference Approach in near-field wideband aeroacoustic imaging, A |
| bayesian | sparse regularization for parallel MRI reconstruction using complex Bernoulli-Laplace mixture priors |
| bayesian | sparse representation for hyperspectral image super resolution |
| bayesian | spatial classifiers based on tree approximations to Markov random fields |
| bayesian | Spatial Models for Projecting Corn Yields |
| bayesian | Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction |
| bayesian | Statistical Analysis for Bacterial Detection in Pulmonary Endomicroscopic Fluorescence Lifetime Imaging |
| bayesian | Stereo Matching |
| bayesian | stereoscopic image resolution enhancement |
| bayesian | Stochastic Mesh Optimization for 3D reconstruction |
| bayesian | Structural Content Abstraction for Region-Level Image Authentication |
| bayesian | Structural Time Series and Geographically Weighted Logistic Regression Modelling Impacts of COVID-19 Lockdowns on the Spatiotemporal Patterns of London's Crimes |
| bayesian | Structure from Motion |
| bayesian | structure from motion using inertial information |
| bayesian | Structure-Preserving Image Contrast Enhancement and its Simplification |
| bayesian | Subsequence Matching and Segmentation |
| bayesian | Super-Resolution of Text in Video with a Text-Specific Bimodal Prior |
| bayesian | super-resolution pansharpening using contourlets |
| bayesian | Super-Resolved Surface Reconstruction from Images |
| bayesian | Supervised Dimensionality Reduction |
| bayesian | Supervised Hashing |
| bayesian | Surface Estimation from Multiple Cameras Using a Prior Based on the Visual Hull and its Application to Image Based Rendering |
| bayesian | surface reconstruction |
| bayesian | Surprise for Small and Sub-Pixel Moving Target Detection |
| bayesian | tactile face |
| bayesian | Tangent Shape Model: Estimating Shape and Pose Parameters Via Bayesian Inference |
| bayesian | Tangent Shape Model: Estimating Shape and Pose Parameters Via Bayesian Inference |
| bayesian | Target Location in Images |
| bayesian | Technique for Image Classifying Registration |
| bayesian | Temporal Factorization for Multidimensional Time Series Prediction |
| bayesian | Tensor Approach for 3-D Face Modeling |
| bayesian | Test-Time Adaptation for Vision-Language Models |
| bayesian | Texture and Instrument Parameter Estimation From Blurred and Noisy Images Using MCMC |
| bayesian | texture classification and retrieval based on multiscale feature vector |
| bayesian | Texture Classification Based on Contourlet Transform and BYY Harmony Learning of Poisson Mixtures |
| bayesian | Theoretic Approach to Multiscale Complex-Phase-Order Representations, A |
| bayesian | Theory |
| bayesian | Three-Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation, A |
| bayesian | Time-Domain Ringing Suppression Approach in Impulse Ultrawideband Synthetic Aperture Radar |
| bayesian | Time-of-Flight for Realtime Shape, Illumination and Albedo |
| bayesian | Topological Framework for the Identification and Reconstruction of Subcellular Motion, A |
| bayesian | Tracking for Video Analytics |
| bayesian | Tracking of Linear Structures in Aerial Images |
| bayesian | Tracking of Video Graphs Using Joint Kalman Smoothing and Registration |
| bayesian | Tracking with Auxiliary Discrete Processes. Application to Detection and Tracking of Objects with Occlusions |
| bayesian | Tracking with Optical Flow Initialization and Re-initialization |
| bayesian | Traffic Light Parameter Tracking Based on Semi-Hidden Markov Models |
| bayesian | Traffic State Estimation Using Extended Floating Car Data |
| bayesian | training of neural networks using genetic programming |
| bayesian | Transfer Filtering via UFIR Adaptive Regularization |
| bayesian | Transfer Learning for Object Detection in Optical Remote Sensing Images |
| bayesian | transformation model for wavelet shrinkage, A |
| bayesian | Treatment of the Stereo Correspondence Problem Using Half-Occluded Regions, A |
| bayesian | tree-structured image modeling using wavelet-domain hidden markov models |
| bayesian | Triplet Loss: Uncertainty Quantification in Image Retrieval |
| bayesian | TV denoising of SAR images |
| bayesian | U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images |
| bayesian | Uncertainty and Expected Gradient Length - Regression: Two Sides Of The Same Coin? |
| bayesian | Uncertainty Calibration for Federated Time Series Analysis |
| bayesian | Uncertainty Estimation of Learned Variational MRI Reconstruction |
| bayesian | Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability |
| bayesian | Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration |
| bayesian | Variance Change Point Detection With Credible Sets |
| bayesian | Vehicle Detection Using Optical Remote Sensing Images |
| bayesian | video matting using learnt image priors |
| bayesian | Video Modeling Framework for Shot Segmentation and Content Characterization, A |
| bayesian | Video Super-Resolution With Heavy-Tailed Prior Models |
| bayesian | View Class Determination |
| bayesian | View of Frame Interpolation and a Comparison with Existing Motion Picture Effects Tools, A |
| bayesian | view on matching and motion estimation, A |
| bayesian | View Synthesis and Image-Based Rendering Principles |
| bayesian | Visual Reranking |
| bayesian | visual surveillance: A model for detecting and tracking a variable number of moving objects |
| bayesian | Visual Tracking with Existence Process |
| bayesian | wavelet shrinkage in transformation based normal models |
| bayesian | Wavelet Shrinkage With Heterogeneity-Adaptive Threshold for SAR Image Despeckling Based on Generalized Gamma Distribution |
| bayesian | Wavelet-Based Image Deconvolution: A GEM Algorithm Exploiting a Class of Heavy-Tailed Priors |
| bayesian | Wavelet-Based Image Denoising Using the Gauss-Hermite Expansion |
| bayesian | Wavelet-Domain Image Modeling using Hidden Markov Trees |
| bayesian | weighting principle for the fundamental matrix estimation, A |
| bayesian | Window Transformer for Image Restoration |
| bayesian | Winner-Take-All Reconstruction of Intermediate Views from Stereoscopic Images |
| bayesian | Ying-Yang Machine, Clustering and Number of Clusters |
| bayesian | , Exemplar-Based Approach to Hierarchical Shape Matching, A |
| bayesian | -Approach for the Median Filter in Image-Processing, A |
| bayesian | -approach to Binocular Stereopsis, A |
| bayesian | -Approach to Dynamic Contours Through Stochastic Sampling and Simulated Annealing, A |
| bayesian | -Approach To Model-Matching With Geometric Hashing, A |
| bayesian | -Based Iterative Method of Image Restoration |
| bayesian | -based method of unconstrained handwritten offline Chinese text line recognition, A |
| bayesian | -based performance prediction for gait recognition |
| bayesian | -Competitive Consistent Labeling for People Surveillance |
| bayesian | -Compressive-Sampling-Based Inversion for Imaging Sparse Scatterers, A |
| bayesian | -Deep-Learning Estimation of Earthquake Location From Single-Station Observations |
| bayesian | /Monte Carlo Segmentation Method for Images Dominated by Gaussian Noise, A |
| BDPK: | bayesian | Dehazing Using Prior Knowledge |
| Be | bayesian | by attachments to catch more uncertainty |
| Beam-Space Post-Doppler Reduced-Dimension STAP Based on Sparse | bayesian | Learning |
| Belief updating in | bayesian | networks by using a criterion of minimum time |
| Below the Surface of the Non-local | bayesian | Image Denoising Method |
| Beyond accuracy: Learning selective | bayesian | classifiers with minimal test cost |
| Beyond GIS Layering: Challenging the (Re)use and Fusion of Archaeological Prospection Data Based on | bayesian | Neural Networks (BNN) |
| BHIS: A | bayesian | -Heuristic Inference System for Recognition of Walking Gait Phases |
| Binary Tissue Classification on Wound Images With Neural Networks and | bayesian | Classifiers |
| Blind Color Deconvolution of Histopathological Images Using a Variational | bayesian | Approach |
| Blind Universal | bayesian | Image Denoising With Gaussian Noise Level Learning |
| Block iterative methods for | bayesian | segmentation of positron emission tomography images |
| Blues: Before-relu-estimates | bayesian | Inference for Crowd Counting |
| Boosted learning in dynamic | bayesian | networks for multimodal speaker detection |
| Boosting and structure learning in dynamic | bayesian | networks for audio-visual speaker detection |
| Boosting | bayesian | MAP Classification |
| Borex: | bayesian | -optimization-based Refinement of Saliency Map for Image- and Video-classification Models |
| Boundary Detection Using | bayesian | Nets |
| BP-triplet net for unsupervised domain adaptation: A | bayesian | perspective |
| BraMBLe: A | bayesian | Multiple-Blob Tracker |
| BSTG-Trans: A | bayesian | Spatial-Temporal Graph Transformer for Long-Term Pose Forecasting |
| BUM: | bayesian | Uncertainty Minimization for Transferable Adversarial Examples in SAR Recognition |
| Calibrating a | bayesian | Transit Assignment Model Using Smart Card Data |
| Camera orientation, calibration and inverse perspective with uncertainties: A | bayesian | method applied to area estimation from diverse photographs |
| Carbon Stock Prediction in Managed Forest Ecosystems Using | bayesian | and Frequentist Geostatistical Techniques and New Generation Remote Sensing Metrics |
| center sliding | bayesian | binary classifier adopting orthogonal polynomials, A |
| Classification and Automatic Annotation Extension of Images Using | bayesian | Network |
| Classification of 10m-resolution SPOT data using a combined | bayesian | Network Classifier-shape adaptive neighborhood method |
| Classification of Active Microwave and Passive Optical Data Based on | bayesian | Theory and MRF |
| Classification using a hierarchical | bayesian | approach |
| Classification-Based Likelihood Functions for | bayesian | Tracking |
| CLIPScope: Enhancing Zero-Shot OOD Detection with | bayesian | Scoring |
| Closed-Form | bayesian | Fusion Equation Using Occupancy Probabilities, A |
| closed-form nonparametric | bayesian | estimator in the wavelet domain of images using an approximate alpha-stable prior, A |
| Cluster Expansions for the Deterministic Computation of | bayesian | Estimators Based on Markov Random Fields |
| Cluster-Classification | bayesian | Networks for head pose estimation |
| Clustered FedStack: Intermediate Global Models with | bayesian | Information Criterion |
| Coarse-to-Fine Statistical Shape Model by | bayesian | Inference |
| Cognitive selection of driving automation levels in highly automated vehicles leveraging on | bayesian | networking principles |
| Collaborative | bayesian | Tensor Factorization-Based Reliable Traffic Speed Data Prediction in T-CPS |
| color management system for textile based on HSV model and | bayesian | classifier, A |
| Colour and Texture in Cloud identification: A Comparison of neural net and | bayesian | Approach |
| Colour and Texture in Cloud Identification: An Experimental Comparison of Neural Network and | bayesian | Methods |
| Combined | bayesian | Markovian Approach for Behaviour Recognition, A |
| Combining deep generative and discriminative models for | bayesian | semi-supervised learning |
| Combining firefly algorithm and | bayesian | classifier: New direction for automatic multilabel image annotation |
| Combining global and local classifiers with | bayesian | network |
| Combining SVM and Graph Matching in a | bayesian | Multiple Classifier System for Image Content Recognition |
| Combining Variation in the | bayesian | Face Recognition |
| Commentary Paper 1 on A Probabilistic | bayesian | Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors |
| Commentary Paper 2 on A Probabilistic | bayesian | Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors |
| Comments on A closed-form nonparametric | bayesian | estimator in the wavelet domain of images using an approximate [alpha]-stable prior |
| Common | bayesian | Network for Classification of EEG-Based Multiclass Motor Imagery BCI |
| Comparative Study of Three Paradigms for Object Recognition: | bayesian | Statistics, Neural Networks, and Expert Systems, A |
| Comparison between Asymptotic | bayesian | Approach and Kalman Filter-Based Technique for 3D Reconstruction Using an Image Sequence |
| Comparison of Optimized Sentinel-2 Super-Resolution Methods Using Wald's Protocol and | bayesian | Optimization, A |
| Comparison of Pixel, Edge and Wavelet Features for Face Detection using a Semi-Naive | bayesian | Classifier, A |
| Comparison of Stochastic and Deterministic Solution Methods in | bayesian | Estimation of 2-D Motion, A |
| Comparison of Three Sediment Acoustic Models Using | bayesian | Inversion and Model Selection Techniques, A |
| Completely Automatic Reliable Finding of Main Roads in Aerial Images by Using | bayesian | Methods |
| Complex Feature Recognition: A | bayesian | Approach for Learning to Recognize Objects |
| complexity of | bayesian | networks specified by propositional and relational languages, The |
| Complexity of concept classes induced by discrete Markov networks and | bayesian | networks |
| Component Optimization for Image Understanding: A | bayesian | Approach |
| Compressed Sensing Doppler Ultrasound Reconstruction Using Block Sparse | bayesian | Learning |
| Compressed Sensing for Efficient Encoding of Dense 3D Meshes Using Model-Based | bayesian | Learning |
| Compressed sensing MRI with | bayesian | dictionary learning |
| Compressed Sensing-Based Inpainting of Aqua Moderate Resolution Imaging Spectroradiometer Band 6 Using Adaptive Spectrum-Weighted Sparse | bayesian | Dictionary Learning |
| Compressive | bayesian | K-SVD |
| Compressive Beamforming Based on Multiconstraint | bayesian | Framework |
| Compressive Sensing SAR Image Reconstruction Based on | bayesian | Framework and Evolutionary Computation |
| Computation of | bayesian | estimators for Markov random field image models using the cluster approximation |
| Computation of Fingerprint Similarity Measures Based on | bayesian | Probability Modeling, A |
| Computational | bayesian | Analysis of Hidden Markov Mesh Models |
| Computationally fast | bayesian | recognition of complex objects based on mutual algebraic invariants |
| Concerning | bayesian | Motion Segmentation, Model Averaging, Matching and the Trifocal Tensor |
| Conditional Allocation and Stopping Rules in | bayesian | Pattern Recognition |
| Conditional | bayesian | networks for action detection |
| Cone Beam X-ray Luminescence Computed Tomography Based on | bayesian | Method |
| Connectivity, Online Social Capital, and Mood: A | bayesian | Nonparametric Analysis |
| Consensus Based Distributed Sparse | bayesian | Learning by Fast Marginal Likelihood Maximization |
| Constrained Maximum Likelihood Learning of | bayesian | Networks for Facial Action Recognition |
| Constraint Satisfaction Framework with | bayesian | Inference for Model-Based Object Recognition, A |
| Construction of a | bayesian | decision theory-based secure multimodal fusion framework for soft biometric traits |
| Constructive neural networks as estimators of | bayesian | discriminant functions |
| Context augmented Dynamic | bayesian | Networks for event recognition |
| Context-Based Meta-Reinforcement Learning With | bayesian | Nonparametric Models |
| Context-Based Scene Recognition Using | bayesian | Networks with Scale-Invariant Feature Transform |
| Context-sensitive | bayesian | classifiers and application to mouse pressure pattern classification |
| Context-Sensitive Prediction of Facial Expressivity Using Multimodal Hierarchical | bayesian | Neural Networks |
| Continuous Gesture Recognition using a Sparse | bayesian | Classifier |
| Continuous Global Evidence-Based | bayesian | Modality Fusion for Simultaneous Tracking of Multiple Objects |
| Continuous Label | bayesian | Segmentation, Applications to Medical Brain Images |
| Continuous Monitoring of Fire-Induced Forest Loss Using Sentinel-1 SAR Time Series and a | bayesian | Method: A Case Study in Paragominas, Brazil |
| Contrastive | bayesian | Analysis for Deep Metric Learning |
| Convex Partition: A | bayesian | Regression Tree for Black-box Optimisation |
| Convexity and | bayesian | constrained local models |
| Cooperative | bayesian | Estimation of Vehicular Traffic in Large-Scale Networks |
| Corrigendum to three papers that deal with 'Anti'- | bayesian | Pattern Recognition [Pattern Recognition] |
| Cost of Dichotomizing Continuous Labels for Binary Classification Problems: Deriving a | bayesian | -Optimal Classifier, The |
| Cost-sensitive | bayesian | network classifiers |
| Counter-Examples for | bayesian | MAP Restoration |
| Counting People With Low-Level Features and | bayesian | Regression |
| Coupled | bayesian | Framework for Dual Energy Image Registration |
| Cross-Domain Collaborative Learning via Discriminative Nonparametric | bayesian | Model |
| Cross-Modality Face Recognition via Heterogeneous Joint | bayesian | |
| Crowdsourcing Thousands of Specialized Labels: A | bayesian | Active Training Approach |
| Curvelet-Based | bayesian | Estimator for Speckle Suppression in Ultrasound Imaging |
| Data-agnostic Face Image Synthesis Detection using | bayesian | CNNs |
| Data-driven | bayesian | -guided activation functions for multi-task pattern recognition |
| Decentralized | bayesian | Algorithm for Identification of Tracked Targets, A |
| Decision Making of Automated Vehicles in Mixed Environment Based on | bayesian | Sequential Games |
| Decomposition of Mixed Pixels Based on | bayesian | Self-Organizing Map and Gaussian Mixture Model |
| Deep Autoencoding Topic Model With Scalable Hybrid | bayesian | Inference |
| Deep | bayesian | Blind Color Deconvolution of Histological Images |
| Deep | bayesian | Network for Visual Question Generation |
| Deep | bayesian | Optimization of Sparse Aperture for Compressed Sensing 3D ISAR Imaging |
| Deep | bayesian | Sparse Subspace Clustering |
| Deep | bayesian | Video Frame Interpolation |
| Deep Embedding Using | bayesian | Risk Minimization with Application to Sketch Recognition |
| Deep Learning on Active Sonar Data Using | bayesian | Optimization for Hyperparameter Tuning |
| Deep Learning Using | bayesian | Optimization for Facial Age Estimation |
| Deep Regression | bayesian | Network and Its Applications: Probabilistic Deep Learning for Computer Vision, The |
| Deep spatio-spectral | bayesian | posterior for hyperspectral image non-i.i.d. noise removal |
| Deep Unfolding Sparse | bayesian | Learning Network for Off-Grid DOA Estimation with Nested Array |
| Deep-features with | bayesian | optimized classifiers for the breast cancer diagnosis |
| Deleted Interpolation Using a Hierarchical | bayesian | Grammar Network for Recognizing Human Activity |
| Demonstration of single-shot digital holography using a | bayesian | framework |
| Denoising Archival Films using a Learned | bayesian | Model |
| Dense Optic Flow with a | bayesian | Occlusion Model |
| Dependent nonparametric | bayesian | group dictionary learning for online reconstruction of dynamic MR images |
| Depth map estimation from single-view image using object classification based on | bayesian | learning |
| Depth Perception Model Based on Fixational Eye Movements Using | bayesian | Statistical Inference |
| Descriptive | bayesian | Approach to Modeling and Calibrating Drivers' En Route Diversion Behavior, A |
| Designing Optimal Sequential Experiments for a | bayesian | Classifier |
| Despeckling of SAR Image Using Generalized Guided Filter With | bayesian | Nonlocal Means |
| Detecting Road Traffic Events by Coupling Multiple Timeseries With a Nonparametric | bayesian | Method |
| Detecting the Demand Changes of Bike Sharing: A | bayesian | Hierarchical Approach |
| Detection and recognition of lung nodules in spiral CT images using deformable templates and | bayesian | post-classification |
| Detection and Tracking of Multiple, Partially Occluded Humans by | bayesian | Combination of Edgelet based Part Detectors |
| Detection of Multiple, Partially Occluded Humans in a Single Image by | bayesian | Combination of Edgelet Part Detectors |
| Detection of Subpixel Anomalies in Multispectral Infrared Imagery Using an Adaptive | bayesian | Classifier |
| Deterministic | bayesian | Estimation of Markovian Random Fields with Applications to Computational Vision |
| Development and Evaluation of a | bayesian | Low-Vision Navigation Aid |
| Development of a Regional LIDAR-Derived Above-Ground Biomass Model with | bayesian | Model Averaging for Use in Ponderosa Pine and Mixed Conifer Forests in Arizona and New Mexico, USA |
| Development of an Operational Algorithm for Automated Deforestation Mapping via the | bayesian | Integration of Long-Term Optical and Microwave Satellite Data |
| Diagnosis of Chronic Idiopathic Inflammatory Bowel Disease Using | bayesian | Networks |
| Diagnostic Reasoning Based on a Genetic Algorithm Operating in a | bayesian | Belief Network |
| Diagram Structure Recognition by | bayesian | Conditional Random Fields |
| Direct 3-D shape recovery from image sequence based on multi-scale | bayesian | network |
| direction finding method for spatial optical beam-forming network based on sparse | bayesian | learning, A |
| Direction of Arrival Estimation for Complex Sources Through L_1 Norm Sparse | bayesian | Learning |
| Direction-of-Arrival Estimation Based on Variational | bayesian | Inference Under Model Errors |
| Discovering | bayesian | causality among visual events in a complex outdoor scene |
| Discovering Constrained Substructures in | bayesian | Trees Using the E.M. Algorithm |
| Discovering Emergent Behaviors from Tracks Using Hierarchical Non-parametric | bayesian | Methods |
| Discrete | bayesian | Network Classifiers: A Survey |
| Discrete optimal | bayesian | classification with error-conditioned sequential sampling |
| discrete-continuous | bayesian | model for Emission Tomography, A |
| Discriminative | bayesian | Active Shape Models |
| Discriminative | bayesian | Dictionary Learning for Classification |
| Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian | bayesian | Network |
| Discriminative Learning of Mixture of | bayesian | Network Classifiers for Sequence Classification |
| Discriminative model selection using a modified | bayesian | criterion: Application to trajectory modeling |
| Distributed | bayesian | Object Recognition |
| DOA and Range Estimation for FDA-MIMO Radar with Sparse | bayesian | Learning |
| Document Logo Detection and Recognition Using | bayesian | Model |
| Dominant subject recognition by | bayesian | learning |
| Double Regularized | bayesian | Estimation for Blur Identification in Video Sequences |
| Driver fatigue evaluation model with integration of multi-indicators based on dynamic | bayesian | network |
| Driver-Gaze Zone Estimation Using | bayesian | Filtering and Gaussian Processes |
| Driving risk status prediction using | bayesian | networks and logistic regression |
| Driving Style Analysis Using Primitive Driving Patterns With | bayesian | Nonparametric Approaches |
| DWOA-BNC: Discrete whale optimization algorithm for | bayesian | network classifier learning and its application |
| Dynamic and clinical PET data reconstruction: A nonparametric | bayesian | approach |
| Dynamic | bayesian | Framework for Extracting Temporal Structure in Video |
| Dynamic | bayesian | Framework for Motion Segmentation, A |
| Dynamic | bayesian | Network Approach to Figure Tracking using Learned Dynamic Models, A |
| dynamic | bayesian | network approach to multi-cue based visual tracking, A |
| Dynamic | bayesian | network based event detection for soccer highlight extraction |
| Dynamic | bayesian | Network Model for Autonomous 3D Reconstruction from a Single Indoor Image, A |
| Dynamic | bayesian | Network modeling for self- and cross-correcting tracking |
| Dynamic | bayesian | Networks for Audio-Visual Speaker Recognition |
| Dynamic | bayesian | Networks for Audio-Visual Speech Recognition |
| Dynamic | bayesian | Networks for Fault Detection, Identification, and Recovery in Autonomous Spacecraft |
| Dynamic Deep Reinforcement Learning- | bayesian | Framework for Anomaly Detection, A |
| Dynamic Facial Analysis: From | bayesian | Filtering to Recurrent Neural Network |
| Dynamic Facial Expression Recognition Using A | bayesian | Temporal Manifold Model |
| Dynamic object-oriented | bayesian | Networks for Flexible Resource-aware content-based Indexing of Media Streams |
| Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse | bayesian | Learning |
| Dynamic video segmentation via a novel recursive | bayesian | learning method |
| Early SKIP mode decision based on | bayesian | model for HEVC |
| Edge-directed Interpolation in a | bayesian | Framework |
| EEG-based classification combining | bayesian | convolutional neural networks with recurrence plot for motor movement/imagery |
| EEG-Based Cross-Subject Emotion Recognition Using Sparse | bayesian | Learning With Enhanced Covariance Alignment |
| Effect of Partitioning of Feature Space on Specific Class Extraction Based on | bayesian | Decision, The |
| Effective fuzzy clustering algorithm with | bayesian | model and mean template for image segmentation |
| Effective Sentiment Analysis Based on Term Evaluation by | bayesian | Model Selection Criteria |
| Effective Shapes Generation for | bayesian | CAD Model Reconstruction |
| Effectiveness of Physiological and Psychological Features to Estimate Helicopter Pilots' Workload: A | bayesian | Network Approach |
| Effects of Ice Particle Representation on Passive Microwave Precipitation Retrieval in a | bayesian | Scheme |
| Efficacy of | bayesian | Neural Networks in Active Learning |
| Efficient and accurate learning of | bayesian | networks using chi-squared independence tests |
| Efficient | bayesian | approach to saliency detection based on Dirichlet process mixture |
| Efficient | bayesian | Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau |
| Efficient | bayesian | Computation for Low-Photon Imaging Problems |
| efficient | bayesian | framework for image enhancement with spatial consideration, An |
| efficient | bayesian | framework for on-line action recognition, An |
| Efficient | bayesian | inference using fully connected conditional random fields with stochastic cliques |
| Efficient | bayesian | Model Selection in PARAFAC via Stochastic Thermodynamic Integration |
| Efficient | bayesian | Sequential Classification Under the Markov Assumption for Various Loss Functions |
| Efficient | bayesian | Track-Before-Detect |
| Efficient Discriminant Viewpoint Selection for Active | bayesian | Recognition |
| Efficient Exploration of Image Classifier Failures with | bayesian | Optimization and Text-to-Image Models |
| Efficient Global Point Cloud Alignment Using | bayesian | Nonparametric Mixtures |
| Efficient HEVC-to-VVC Transcoder Based On A | bayesian | Classifier For The First Quadtree Depth Level |
| Efficient Joint Formulation for | bayesian | Face Verification, An |
| Efficient mode selection for H.264 complexity reduction in a | bayesian | framework |
| Efficient Multilevel Brain Tumor Segmentation With Integrated | bayesian | Model Classification |
| efficient parameter estimation method for generalized Dirichlet priors in naive | bayesian | classifiers with multinomial models, An |
| Efficient Priors for Scalable Variational Inference in | bayesian | Deep Neural Networks |
| Efficient Scene-Break Detection Method Based on Linear Prediction With | bayesian | Cost Functions, An |
| Efficient Sparse | bayesian | Learning STAP Algorithm with Adaptive Laplace Prior, An |
| Efficient Sparse Recovery STAP Algorithm for Airborne Bistatic Radars Based on Atomic Selection under the | bayesian | Framework, An |
| efficient systolic array grid-based structure of the robust | bayesian | regularization technique for real-time enhanced imaging in uncertain remote sensing environment, An |
| Efficient Texture Image Retrieval Using Copulas in a | bayesian | Framework |
| Efficient Variational | bayesian | Approximation Method Based on Subspace Optimization |
| Efficient variational inference in large-scale | bayesian | compressed sensing |
| EM algorithm for robust | bayesian | PCA with student's t-distribution, An |
| Empirical | bayesian | Approach to Quantify Multi-Scale Spatial Structural Diversity in Remote Sensing Data, An |
| Empirical | bayesian | EM Based Motion Segmentation |
| Empirical | bayesian | Imaging With Large-Scale Push-Forward Generative Priors |
| Empirical | bayesian | Light-Field Stereo Matching by Robust Pseudo Random Field Modeling |
| Empirical | bayesian | Motion Segmentation |
| Encoding Probabilistic Brain Atlases Using | bayesian | Inference |
| Encoding the Latent Posterior of | bayesian | Neural Networks for Uncertainty Quantification |
| End-To-End | bayesian | Segmentation Network Based on a Generative Adversarial Network for Remote Sensing Images, An |
| End-to-End Label Uncertainty Modeling in Speech Emotion Recognition Using | bayesian | Neural Networks and Label Distribution Learning |
| Enhanced | bayesian | Compression via Deep Reinforcement Learning |
| Enhanced | bayesian | foreground segmentation using Brightness and Color Distortion region-based model for shadow removal |
| Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: | bayesian | Optimization and Feature Selection Approach |
| Enhanced foreground segmentation and tracking combining | bayesian | background, shadow and foreground modeling |
| Enhanced IR face recognition using | bayesian | unsupervised algorithm |
| Enhancing Perceptual Attributes with | bayesian | Style Generation |
| Enhancing the Understanding of Train Delays With Delay Evolution Pattern Discovery: A Clustering and | bayesian | Network Approach |
| ensembleDownscaleR: R Package for | bayesian | Ensemble Averaging of PM2.5 Geostatistical Downscalers |
| Episode-Based Active Learning with | bayesian | Neural Networks |
| epsilon-Optimal Non- | bayesian | Anomaly Detection for Parametric Tomography |
| Estimating Driver Awareness of Crossing Pedestrians While Turning Left Based on Vehicle Behavior Using | bayesian | Approach |
| Estimating Forest Aboveground Biomass Using a Combination of Geographical Random Forest and Empirical | bayesian | Kriging Models |
| Estimating forest stand density and structure using | bayesian | individual tree detection, stochastic geometry, and distribution matching |
| Estimating Travel Time Distributions by | bayesian | Network Inference |
| Estimation Of Housing Vacancy Distributions: Basic | bayesian | Approach Using Utility Data |
| Estimation of Land Surface Temperature through Blending MODIS and AMSR-E Data with the | bayesian | Maximum Entropy Method |
| Estimation of Occlusion and Dense Motion Fields in a Bidirectional | bayesian | Framework |
| Estimation of PM2.5 Concentration Using Deep | bayesian | Model Considering Spatial Multiscale |
| Estimation of the | bayesian | network architecture for object tracking in video sequences |
| Estimation of the Hemodynamic Response in Event-Related Functional MRI: | bayesian | Networks as a Framework for Efficient Bayesian Modeling and Inference |
| Estimation of the Hemodynamic Response in Event-Related Functional MRI: | bayesian | Networks as a Framework for Efficient Bayesian Modeling and Inference |
| Estimation of Vehicular Journey Time Variability by | bayesian | Data Fusion With General Mixture Model |
| Estimation Performance for the | bayesian | Hierarchical Linear Model |
| Evaluating Scalable | bayesian | Deep Learning Methods for Robust Computer Vision |
| Evaluation of | bayesian | Despeckling and Texture Extraction Methods Based on Gauss-Markov and Auto-Binomial Gibbs Random Fields: Application to TerraSAR-X Data |
| Evaluation of | bayesian | Multimodel Estimation in Surface Incident Shortwave Radiation Simulation over High Latitude Areas |
| Evaluation of Cardiac Ultrasound Data by | bayesian | Probability Maps |
| Event detection and semantic identification using | bayesian | belief network |
| Event Detection and Summarization in Soccer Videos Using | bayesian | Network and Copula |
| Evolving | bayesian | Graph for Three-Dimensional Vehicle Model Building From Video |
| Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model | bayesian | Approach |
| Example of 3-D Interpretation of Images Using | bayesian | Networks, An |
| Expandable | bayesian | networks for 3D object description from multiple views and multiple mode inputs |
| Explainable Artificial Intelligence (XAI) for Flood Susceptibility Assessment in Seoul: Leveraging Evolutionary and | bayesian | AutoML Optimization |
| Explaining Activities as Consistent Groups of Events: A | bayesian | Framework Using Attribute Multiset Grammars |
| Explanation and Use of Uncertainty Quantified by | bayesian | Neural Network Classifiers for Breast Histopathology Images |
| Exploiting | bayesian | Belief Network for Adaptive IP-Reuse Decision |
| Exploiting Block-Sparsity for Hyperspectral Kronecker Compressive Sensing: A Tensor-Based | bayesian | Method |
| Exploiting Experts: Knowledge for Structure Learning of | bayesian | Networks |
| Exploiting qualitative domain knowledge for learning | bayesian | network parameters with incomplete data |
| Exploration of term relationship for | bayesian | network based sentence retrieval |
| Exploring features in a | bayesian | framework for material recognition |
| Exploring Spatiotemporal Patterns of Expressway Traffic Accidents Based on Density Clustering and | bayesian | Network |
| Exploring the Influence of Neighborhood Characteristics on Burglary Risks: A | bayesian | Random Effects Modeling Approach |
| Exploring turn signal usage patterns in lane changes: A | bayesian | hierarchical modelling analysis of realistic driving data |
| Extended Mumford-Shah Regularization in | bayesian | Estimation for Blind Image Deconvolution and Segmentation |
| Extended-Sampling- | bayesian | Method for Limited Aperture Inverse Scattering Problems |
| Extending | bayesian | RFS SLAM to multi-vehicle SLAM |
| Extracting and locating temporal motifs in video scenes using a hierarchical non parametric | bayesian | model |
| Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based | bayesian | Reconstruction of Current Low-Dose CT Images |
| Face Authentication with Salient Local Features and Static | bayesian | Network |
| Face detection by aggregated | bayesian | network classifiers |
| Face hallucination based on nonparametric | bayesian | learning |
| Face Pose Estimation From Video Sequence Using Dynamic | bayesian | Network |
| Face Recognition Based on Recursive | bayesian | Fusion of Multiple Signals and Results from Expert Classifier Sets |
| Face verification based on deep | bayesian | convolutional neural network in unconstrained environment |
| Facial event classification with task oriented dynamic | bayesian | network |
| Factor Screening using | bayesian | Active Learning and Gaussian Process Meta-Modelling |
| Fast and Efficient Feature Extraction Based on | bayesian | Decision Boundaries |
| Fast and Stable | bayesian | Image Expansion Using Sparse Edge Priors |
| Fast | bayesian | Compressed Sensing Algorithm via Relevance Vector Machine for LASAR 3D Imaging |
| Fast | bayesian | Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network |
| Fast C++ Implementation of Neural Network Backpropagation Training Algorithm: Application to | bayesian | Optimal Image Demosaicing, A |
| Fast CU Partitioning Algorithm for HEVC Using an Online-Learning-Based | bayesian | Decision Rule |
| fast full partitioning algorithm for HEVC-to-VVC video transcoding using | bayesian | classifiers, A |
| Fast Inverse-Free Sparse | bayesian | Learning via Relaxed Evidence Lower Bound Maximization |
| Fast Mode Decision Algorithm for Scalable Video Coding Using | bayesian | Theorem Detection and Markov Process |
| Fast Monocular | bayesian | Detection of Independently Moving Objects by a Moving Observer |
| Fast Multi-Network K-Dependence | bayesian | Classifier for Continuous Features, A |
| Fast Object Extraction from | bayesian | Occupancy Grids using Self Organizing Networks |
| Fast Online Video Pose Estimation by Dynamic | bayesian | Modeling of Mode Transitions |
| Fast Sparse Aperture ISAR Autofocusing and Imaging via ADMM Based Sparse | bayesian | Learning |
| Fast TU size decision algorithm for HEVC encoders using | bayesian | theorem detection |
| Fast Unsupervised | bayesian | Image Segmentation With Adaptive Spatial Regularisation |
| Fast variational | bayesian | approaches applied to large dimensional problems |
| Fast Variational | bayesian | Inference for Space-Time Adaptive Processing |
| Fast Variational | bayesian | Inference for Temporally Correlated Sparse Signal Recovery |
| Feasibility Study of Extracting Tissue Textures From a Previous Full-Dose CT Database as Prior Knowledge for | bayesian | Reconstruction of Current Low-Dose CT Images, A |
| Feature Learning for Recognition with | bayesian | Networks |
| Feature Learning Using | bayesian | Linear Regression Model |
| Feature Preserving Shrinkage on | bayesian | Neural Networks Via the R2D2 Prior |
| Feature-Based Target Recognition with a | bayesian | Network |
| Feedback-Assisted Automatic Target and Clutter Discrimination Using a | bayesian | Convolutional Neural Network for Improved Explainability in SAR Applications |
| Film scratch removal using Kalman filtering and | bayesian | restoration |
| Finding Correspondence Points Based on | bayesian | Triangulation |
| Finite Element based sequential | bayesian | Non-Rigid Structure from Motion |
| FIR system identification based on a nonparametric | bayesian | model using the Indian buffet process |
| Flexible | bayesian | Framework for Image Segmentation, A |
| Flexible | bayesian | Inference by Weight Transfer for Robust Deep Neural Networks |
| Floating search algorithm for structure learning of | bayesian | network classifiers |
| FMAPLS: | bayesian | Label Shift Estimation Based on Dynamic Dirichlet Parameter Adaptation |
| Forward-Looking Super-Resolution Imaging for Sea-Surface Target with Multi-Prior | bayesian | Method |
| Four-neighborhood clique kernel: A general framework for | bayesian | and variational techniques of noise reduction in magnetic resonance images of the brain |
| Fractional Vegetation Cover Estimation Method Through Dynamic | bayesian | Network Combining Radiative Transfer Model and Crop Growth Model |
| Framework of Camera Source Identification | bayesian | Game, A |
| From Face Recognition to Models of Identity: A | bayesian | Approach to Learning About Unknown Identities from Unsupervised Data |
| From Global to Local | bayesian | Parameter Estimation in Image Restoration using Variational Distribution Approximations |
| Full | bayesian | Approach to Curve and Surface Reconstruction, A |
| Full | bayesian | Before-After Analysis of Safety Effects of Variable Speed Limit System |
| Fully automatic brain tumor segmentation using a normalized Gaussian | bayesian | Classifier and 3D Fluid Vector Flow |
| Fully | bayesian | estimation of Gibbs hyperparameters for emission computed tomography data |
| Fully | bayesian | Image Segmentation: An Engineering Perspective |
| Fully | bayesian | Spatio-Temporal Modeling of FMRI Data |
| Fundamental Limits of | bayesian | Inference: Order Parameters and Phase Transitions for Road Tracking |
| fundamental theory of optimal Anti- | bayesian | parametric pattern classification using order statistics criteria, The |
| Fusing length and voicing information, and HMM decision using a | bayesian | causal tree against insufficient training data |
| Fusing multimodal biometrics with quality estimates via a | bayesian | belief network |
| Fusion and Analysis of Land Use/Cover Datasets Based on | bayesian | -Fuzzy Probability Prediction: A Case Study of the Indochina Peninsula |
| Fusion of | bayesian | estimation and MTF inversion techniques for improved array imaging in scattering media |
| Fusion of | bayesian | Maximum Entropy Spectral Estimation and Variational Analysis Methods for Enhanced Radar Imaging |
| Fusion of Hidden Markov Random Field Models and Its | bayesian | Estimation |
| Fusion of image classifications using | bayesian | techniques with Markov random fields |
| Fusion of Person Authentication Probabilities by | bayesian | Statistics |
| Fuzzy | bayesian | validation for cluster analysis of yeast cell-cycle data |
| Fuzzy Locally Adaptive | bayesian | Segmentation Approach for Volume Determination in PET, A |
| GaDQN-IDS: A Novel Self-Adaptive IDS for VANETs Based on | bayesian | Game Theory and Deep Reinforcement Learning |
| Gait classification in children with cerebral palsy by | bayesian | approach |
| Gait recognition based on improved dynamic | bayesian | networks |
| Gaussian Process Shape Models for | bayesian | Segmentation of Plant Leaves |
| Gaze location prediction for broadcast football video using | bayesian | integration of low level features and top-down cues |
| Gender Identification Using Feature Patch-Based | bayesian | Classifier |
| General | bayesian | Markov Random Field Model for Probabilistic Image Segmentation, A |
| Generalized background subtraction based on hybrid inference by belief propagation and | bayesian | filtering |
| Generalized | bayesian | Canonical Correlation Analysis with Missing Modalities |
| Generalized | bayesian | Model Selection for Speckle on Remote Sensing Images |
| Generalized Chernoff Information for Mismatched | bayesian | Detection and Its Application to Energy Detection |
| Generalized Gaussian mixture models as a nonparametric | bayesian | approach for clustering using class-specific visual features |
| Generalizing Eye Tracking With | bayesian | Adversarial Learning |
| Generation of handwritten characters with | bayesian | network based on-line handwriting recognizers |
| Generative | bayesian | Image Super Resolution With Natural Image Prior |
| Genetic Prediction in Bovine Meat Production: Is Worth Integrating | bayesian | and Machine Learning Approaches? a Comprenhensive Analysis |
| Geodesic weighted | bayesian | model for saliency optimization |
| Geodesic weighted | bayesian | model for salient object detection |
| Geodesic-Based | bayesian | Coherent Point Drift |
| Geometric empirical | bayesian | model for classification of functional data under diverse sampling regimes |
| Geometric Sequence (GS) imaging with | bayesian | smoothing for optical and capacitive imaging sensors |
| Geometry-Aware Hierarchical | bayesian | Learning on Manifolds |
| Geometry-Aware Neural Solver for Fast | bayesian | Calibration of Brain Tumor Models |
| Gesture Recognition Using a Marionette Model and Dynamic | bayesian | Networks (DBNs) |
| Gibbs likelihoods for | bayesian | tracking |
| Gibbs Models for | bayesian | Simulation and Segmentation of Piecewise-Uniform Textures |
| Global and Local Methods of Unsupervised | bayesian | Segmentation of Images |
| GPSRL: Learning Semi-Parametric | bayesian | Survival Rule Lists from Heterogeneous Patient Data |
| GPstruct: | bayesian | Structured Prediction Using Gaussian Processes |
| Gradient-based Uncertainty Attribution for Explainable | bayesian | Deep Learning |
| gradient-like variational | bayesian | approach: Application to microwave imaging for breast tumor detection, A |
| Graph cut: application to | bayesian | emission tomography reconstruction |
| Graph-Based Analysis of Nasopharyngeal Carcinoma with | bayesian | Network Learning Methods |
| GraphFusion: Robust 3D Detection via Cross-Modal Graph and Uncertainty-Aware | bayesian | Fusion |
| Graphic Symbol Recognition Using Graph Based Signature and | bayesian | Network Classifier |
| Grassmann manifold online learning and partial occlusion handling for visual object tracking under | bayesian | formulation |
| Gravity-Aided Navigation Underwater Positioning Confidence Study Based on | bayesian | Estimation of the Interquartile Range Method |
| Greedy | bayesian | double sparsity dictionary learning |
| Ground-Based Remote Sensing of Volcanic CO2 Fluxes at Solfatara (Italy): Direct Versus Inverse | bayesian | Retrieval |
| Group-Membership Reinforcement for Straight Edges Based on | bayesian | Networks |
| Grouping K-Means Adjacent Regions for Semantic Image Annotation Using | bayesian | Networks |
| Guest Editors' Introduction to the Special Issue on | bayesian | Nonparametrics |
| Hand gesture recognition based on | bayesian | sensing hidden Markov models and Bhattacharyya divergence |
| Hand gesture recognition based on dynamic | bayesian | network framework |
| Hand-drawn Symbol Recognition in Graphic Documents Using Deformable Template Matching and a | bayesian | Framework |
| Handling uncertainty in 3-D object recognition using | bayesian | networks |
| Hazard Assessment of Earthquake Disaster Chains Based on a | bayesian | Network Model and ArcGIS |
| Head Gesture Recognition Based on | bayesian | Network |
| Hidden markov | bayesian | texture segmentation using complex wavelet transform |
| Hierarchical | bayesian | algorithm for diffuse optical tomography |
| Hierarchical | bayesian | Approach for Unsupervised Cell Phenotype Clustering, A |
| hierarchical | bayesian | approach to online writer identification, A |
| Hierarchical | bayesian | Approach to Reconstruction from Projections of a Multiple Object 3-D Scene, A |
| Hierarchical | bayesian | Choice Model with Visibility, A |
| Hierarchical | bayesian | Classification of Multimodal Medical Images |
| Hierarchical | bayesian | combination of plug-in maximum a posteriori decoders in deep neural networks-based speech recognition and speaker adaptation |
| Hierarchical | bayesian | Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data |
| Hierarchical | bayesian | Generation Framework for Vacant Parking Space Detection, A |
| Hierarchical | bayesian | image analysis: From low-level modeling to robust supervised learning |
| Hierarchical | bayesian | Image Restoration from Partially Known Blurs |
| Hierarchical | bayesian | Inverse Lighting of Portraits with a Virtual Light Stage |
| Hierarchical | bayesian | LSTM for Head Trajectory Prediction on Omnidirectional Images |
| hierarchical | bayesian | model for continuous speech recognition, A |
| Hierarchical | bayesian | Modeling of Topics in Time-Stamped Documents |
| Hierarchical | bayesian | models for unsupervised scene understanding |
| Hierarchical | bayesian | nets for building extraction using dense digital surface models |
| Hierarchical | bayesian | Network Based Incremental Model for Flood Prediction |
| Hierarchical | bayesian | Network for Handwritten Digit Recognition |
| Hierarchical | bayesian | Sparse Image Reconstruction With Application to MRFM |
| Hierarchical | bayesian | Theme Models for Multipose Facial Expression Recognition |
| hierarchical | bayesian | -map approach to computational imaging, A |
| Hierarchical Iterative | bayesian | Approach to Automatic Recognition of Biological Viruses in Electron Microscope Images |
| Hierarchical method for building extraction in urban area's images using unsharp masking [USM] and | bayesian | classifier |
| Hierarchical Sparse | bayesian | Learning with Beta Process Priors for Hyperspectral Imagery Restoration |
| Hierarchical Sparse Signal Recovery by Variational | bayesian | Inference |
| Hierarchical Terrain Classification Based on Multilayer | bayesian | Network and Conditional Random Field |
| High-Dimensional Multi-Objective | bayesian | Optimization With Block Coordinate Updates: Case Studies in Intelligent Transportation System |
| High-Quality | bayesian | Pansharpening |
| High-Resolution Fast-Rotating Sound Localization Based on Modal Composition Beamforming and | bayesian | Inversion |
| High-Resolution Radar Imaging in Complex Environments Based on | bayesian | Learning With Mixture Models |
| High-Resolution Sparse Subband Imaging Based on | bayesian | Learning With Hierarchical Priors |
| High-Speed Maneuvering Target Inverse Synthetic Aperture Radar Imaging and Motion Parameter Estimation Based on Fast Spare | bayesian | Learning and Minimum Entropy |
| High-Speed Target HRRP Reconstruction Based on Fast Mean-Field Sparse | bayesian | Unrolled Network |
| Highly Efficient Compressive Sensing Algorithm Based on Root-Sparse | bayesian | Learning for RFPA Radar, A |
| HMDHBN: Hidden Markov Inducing a Dynamic Hierarchical | bayesian | Network for Tumor Growth Prediction |
| HoG based real-time multi-target tracking in | bayesian | framework |
| Hough Transform's Implicit | bayesian | Foundation, The |
| Human Action Recognition Using a Dynamic | bayesian | Action Network with 2D Part Models |
| Human body pose detection using | bayesian | spatio-temporal templates |
| Human Face Reconstruction Using | bayesian | Deformable Models |
| Human Routine Change Detection using | bayesian | Modelling |
| Hybrid | bayesian | -Convolutional Neural Network for Adversarial Robustness, A |
| Hybrid Global Stochastic and | bayesian | Linearized Acoustic Seismic Inversion Methodology |
| Hybrid learning of | bayesian | multinets for binary classification |
| hybrid NN- | bayesian | architecture for information fusion, A |
| Hyperparameter tuning for big data using | bayesian | optimisation |
| Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational | bayesian | Framework |
| Hyperspectral Image Segmentation Using a New | bayesian | Approach With Active Learning |
| Hyperspectral Video Super-Resolution Using Beta Process and | bayesian | Dictionary Learning |
| Ideal observer approximation using | bayesian | classification neural networks |
| Identification of coronary arteries in CT images by | bayesian | analysis of geometric relations among anatomical landmarks |
| Identifying Surprising Events in Videos Using | bayesian | Topic Models |
| Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse | bayesian | Learning |
| Image Content Annotation Using | bayesian | Framework and Complement Components Analysis |
| Image De-noising by | bayesian | Regression |
| Image deconvolution using tree-structured | bayesian | group sparse modeling |
| Image Denoising Based on Nonlocal | bayesian | Singular Value Thresholding and Stein's Unbiased Risk Estimator |
| Image Interpolation via Graph-Based | bayesian | Label Propagation |
| Image Interpretation Using | bayesian | Networks |
| Image Modeling and Segmentation Using Incremental | bayesian | Mixture Models |
| Image Reconstruction in Electrical Impedance Tomography Based on Structure-Aware Sparse | bayesian | Learning |
| Image Restoration And Detail Preservation By | bayesian | Estimation |
| Image Restoration Preserving Discontinuities: The | bayesian | Approach and Neural Networks |
| Image restoration via | bayesian | dictionary learning with nonlocal structured beta process |
| Image restoration via | bayesian | structured sparse coding |
| Image Segmentation and Object Recognition by | bayesian | Grouping |
| Image segmentation based on a multiresolution | bayesian | framework |
| Image Segmentation Using | bayesian | Inference for Convex Variant Mumford-Shah Variational Model |
| Image Segmentation Using Disjunctive Normal | bayesian | Shape and Appearance Models |
| Image Set Classification Using Sparse | bayesian | Regression |
| Image-based | bayesian | Framework for Face Detection, An |
| Image-to-Image | bayesian | Flow Networks With Structurally Informative Priors |
| Implementation Strategies for Hyperspectral Unmixing Using | bayesian | Source Separation |
| Implementing an Indirect Radar Assimilation Scheme with a 1D | bayesian | Retrieval in the Numerical Prediction Model |
| Improved Attributed Scattering Model Optimized by Incremental Sparse | bayesian | Learning, An |
| Improved Auto-Calibration Algorithm Based on Sparse | bayesian | Learning Framework, An |
| improved | bayesian | algorithm for color image desaturation, An |
| Improved | bayesian | Combination Model for Short-Term Traffic Prediction With Deep Learning, An |
| Improved | bayesian | image denoising based on wavelets with applications to electron microscopy |
| Improved | bayesian | information criterion for mixture model selection |
| improved | bayesian | structural EM algorithm for learning Bayesian networks for clustering, An |
| improved | bayesian | structural EM algorithm for learning Bayesian networks for clustering, An |
| Improved Low-Complexity Sparse | bayesian | Learning With Embedded Bayesian Threshold |
| Improved Low-Complexity Sparse | bayesian | Learning With Embedded Bayesian Threshold |
| Improved side information generation algorithm based on naive | bayesian | theory for distributed video coding |
| Improved Spatiotemporal Information Fusion Approach Based on | bayesian | Decision Theory for Land Cover Classification |
| Improved Structural EM to Learn Dynamic | bayesian | Nets, An |
| Improvement of Spatio-temporal Growth Estimates in Heterogeneous Forests Using Gaussian | bayesian | Networks |
| Improving | bayesian | Network parameter learning using constraints |
| Improving | bayesian | Networks Breast Mass Diagnosis by Using Clinical Data |
| Improving object detection with deep convolutional networks via | bayesian | optimization and structured prediction |
| Improving Robust Generalization by Direct PAC- | bayesian | Bound Minimization |
| Improving Transferability of Adversarial Examples via | bayesian | Attacks |
| In Depth | bayesian | Semantic Scene Completion |
| In Search of | bayesian | Inference |
| In-Vehicle Infotainment Systems: Using | bayesian | Networks to Model Cognitive Selection of Music Genres |
| Incorporating contextual knowledge to Dynamic | bayesian | Networks for event recognition |
| Incorporation of derivative priors in adaptive | bayesian | color image segmentation |
| Incremental | bayesian | classification for multivariate normal distribution data |
| Incremental | bayesian | learning of feature points from natural images |
| Incremental density approximation and kernel-based | bayesian | filtering for object tracking |
| Incremental Learning for | bayesian | Classification of Images |
| Incremental learning of nonparametric | bayesian | mixture models |
| Incremental object matching and detection with | bayesian | methods and particle filters |
| Incremental Object Matching with | bayesian | Methods and Particle Filters |
| Independent Component Analysis: Source Assessment and Separation, a | bayesian | Approach |
| Individual attribute prior setting methods for naive | bayesian | classifiers |
| Inexact | bayesian | Estimation |
| Inexact | bayesian | point pattern matching for linear transformations |
| Inference of Restricted Stochastic Boolean GRN's by | bayesian | Error and Entropy Based Criteria |
| Infinite | bayesian | one-class support vector machine based on Dirichlet process mixture clustering |
| Influence of Geostatistical Prior Modeling on the Solution of DCT-Based | bayesian | Inversion: A Case Study from Chicken Creek Catchment, The |
| Information Signaling With Concurrent Monetary Incentives in | bayesian | Congestion Games |
| Information-Based Cost Function for a | bayesian | MRI Segmentation Framework |
| informed sampler: A discriminative approach to | bayesian | inference in generative computer vision models, The |
| Infrasound Source Localization of Distributed Stations Using Sparse | bayesian | Learning and Bayesian Information Fusion |
| Infrasound Source Localization of Distributed Stations Using Sparse | bayesian | Learning and Bayesian Information Fusion |
| Instrument parameter estimation in | bayesian | convex deconvolution |
| Integrated | bayesian | Approach to Layer Extraction from Image Sequences, An |
| Integrated | bayesian | multi-cue tracker for objects observed from moving cameras |
| Integrating Crowdsourced Data with a Land Cover Product: A | bayesian | Data Fusion Approach |
| Integrating Hierarchical Segmentation Maps With MRF Prior for Classification of Hyperspectral Images in a | bayesian | Framework |
| Integrating Recursive | bayesian | Estimation with Support Vector Machine to Map Probability of Flooding from Multispectral Landsat Data |
| Integration of multiple contextual information for image segmentation using a | bayesian | Network |
| Integration of the latent variable knowledge into deep image captioning with | bayesian | modeling |
| Integration of Vision and Speech Understanding Using | bayesian | Networks |
| Integration, Inference, and Management of Spatial Information Using | bayesian | Networks: Perceptual Organization |
| Intelligent Interactive Displays in Vehicles with Intent Prediction: A | bayesian | framework |
| Intelligent Mobile Video Surveillance System as a | bayesian | Coalition Game in Vehicular Sensor Networks: Learning Automata Approach |
| Intelligibility Enhancement Via Normal-to-Lombard Speech Conversion With Long Short-Term Memory Network and | bayesian | Gaussian Mixture Model |
| Intensity-Based Bi- And Trinocular Stereo Vision: | bayesian | Decisions and Regularizing Assumptions |
| Interactive Learning of Scene Context Extractor Using Combination of | bayesian | Network and Logic Network |
| Interferometric image reconstruction as a nonlinear | bayesian | estimation problem |
| interpretable deep learning | bayesian | optimized random forest framework for the diagnosis of Parkinson's disease in structural magnetic resonance images, An |
| Interpretable Severity Scoring of Pelvic Trauma Through Automated Fracture Detection and | bayesian | Inference |
| Interpretation of complex scenes using dynamic tree-structure | bayesian | networks |
| Interval Determination Strategy for | bayesian | Inversion of Seismic Source Parameters Under Uncertain Interval Conditions |
| Intrapersonal Subspace Analysis with Application to Adaptive | bayesian | Face Recognition |
| Intrinsic | bayesian | Active Contours for Extraction of Object Boundaries in Images |
| Intrusion Detection and Ejection Framework Against Lethal Attacks in UAV-Aided Networks: A | bayesian | Game-Theoretic Methodology |
| Inverse Halftoning Based on | bayesian | Theorem |
| Inverse Halftoning Based on the | bayesian | Theorem |
| Inversion of rice canopy chlorophyll content and leaf area index based on coupling of radiative transfer and | bayesian | network models |
| Investigating Contextual Effects on Burglary Risks: A Contextual Effects Model Built Based on | bayesian | Spatial Modeling Strategy |
| Investigating Very-High-Resolution Land Cover Mapping in the Pearl River Delta with Remote Sensing Foundation Models and Multi-Source Data | bayesian | Fusion |
| Irrelevance and Parameter Learning in | bayesian | Networks |
| Iterative | bayesian | Approach for Digital Matting, An |
| iterative spectral-spatial | bayesian | labeling approach for unsupervised robust change detection on remotely sensed multispectral imagery, An |
| Iterative Super-Resolution Reconstruction of Image Sequences using a | bayesian | Approach with BTV prior and Affine Block-Based Registration, An |
| Joint | bayesian | Estimation of Close Subspaces from Noisy Measurements |
| Joint | bayesian | Estimation of Time-Varying LP Parameters and Excitation for Speech |
| Joint | bayesian | PET Reconstruction Algorithm Using a Quadratic Hybrid Multi-order Prior |
| Joint | bayesian | Tracking of Head Location and Pose from Low-Resolution Video |
| Joint | bayesian | -Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence |
| Joint denoising and decompression: A patch-based | bayesian | approach |
| Joint Discriminative | bayesian | Dictionary and Classifier Learning |
| Joint Estimation of Parameters and Hyper-Parameters in a | bayesian | Approach of Solving Inverse Problems |
| Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational | bayesian | computation |
| joint inter- and intrascale statistical model for | bayesian | wavelet based image denoising, A |
| Joint Learning of Full-Structure Noise in Hierarchical | bayesian | Regression Models |
| Joint Modeling of Multiple Crimes: A | bayesian | Spatial Approach |
| joint multicontext and multiscale approach to | bayesian | image segmentation, A |
| Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational | bayesian | Computation |
| Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical | bayesian | Model Based on Generalized Gaussian Priors |
| Joint Sparse Aperture ISAR Autofocusing and Scaling via Modified Newton Method-Based Variational | bayesian | Inference |
| Joint super-resolution and segmentation from a set of low resolution images using a | bayesian | approach with a Gauss-Markov-Potts prior |
| Joint-MAP | bayesian | tomographic reconstruction with a gamma-mixture prior |
| Jointly social grouping and identification in visual dynamics with causality-induced hierarchical | bayesian | model |
| JPEG Steganalysis With High-Dimensional Features and | bayesian | Ensemble Classifier |
| Junction detection and grouping with probabilistic edge models and | bayesian | A* |
| Kernel-based | bayesian | clustering of computed tomography images for lung nodule segmentation |
| Kernel-Based | bayesian | Filtering for Object Tracking |
| Kernel- | bayesian | Framework for Object Tracking |
| Kernelized | bayesian | Matrix Factorization |
| Knowledge Based Activity Recognition with Dynamic | bayesian | Network |
| Knowledge-Augmented Multimodal Deep Regression | bayesian | Networks for Emotion Video Tagging |
| Label Field Fusion | bayesian | Model and Its Penalized Maximum Rand Estimator for Image Segmentation, A |
| Label Shift Estimation for Class-Imbalance Problem: A | bayesian | Approach |
| Landsat-8 and Sentinel-2 Based Prediction of Forest Plantation C Stock Using Spatially Varying Coefficient | bayesian | Hierarchical Models |
| Landslide Susceptibility Mapping: Analysis of Different Feature Selection Techniques with Artificial Neural Network Tuned by | bayesian | and Metaheuristic Algorithms |
| Lane Change Intent Analysis Using Robust Operators and Sparse | bayesian | Learning |
| Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naive | bayesian | Classification |
| Large Scale | bayesian | Inference And Experimental Design For Sparse Linear Models |
| Large Scale Image Categorization in Sparse Nonparametric | bayesian | Representation |
| Large-Scale | bayesian | Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging |
| Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a | bayesian | Optimization-Based Tunable Softplus Backpropagation Neural Network |
| Late Fusion of | bayesian | and Convolutional Models for Action Recognition |
| Latent Data Association: | bayesian | Model Selection for Multi-target Tracking |
| Latent regression | bayesian | network for data representation |
| Layer Extraction with a | bayesian | Model of Shapes |
| Learning a restricted | bayesian | network for object detection |
| Learning algorithms of form structure for | bayesian | networks |
| Learning | bayesian | Classifiers for Scene Classification With a Visual Grammar |
| Learning | bayesian | classifiers from positive and unlabeled examples |
| Learning | bayesian | network classifiers for credit scoring using Markov chain Monte Carlo search |
| Learning | bayesian | network classifiers for facial expression recognition using both labeled and unlabeled data |
| Learning | bayesian | network classifiers from label proportions |
| Learning | bayesian | network parameters under incomplete data with domain knowledge |
| Learning | bayesian | network structure using Markov blanket decomposition |
| Learning | bayesian | Networks by Evolution for Classifier Combination |
| Learning | bayesian | networks for clustering by means of constructive induction |
| Learning | bayesian | Networks for Cytogenetic Image Classification |
| Learning | bayesian | networks using the constrained maximum a posteriori probability method |
| Learning | bayesian | Networks with qualitative constraints |
| Learning | bayesian | Sparse Networks with Full Experience Replay for Continual Learning |
| Learning | bayesian | tracking for motion estimation |
| Learning Choreographic Primitives Through A | bayesian | Optimized Bi-Directional LSTM Model |
| Learning Discriminative | bayesian | Networks from High-Dimensional Continuous Neuroimaging Data |
| Learning dynamic | bayesian | network discriminatively for human activity recognition |
| Learning dynamic | bayesian | network models via cross-validation |
| Learning Generative Visual Models from Few Training Examples: An Incremental | bayesian | Approach Tested on 101 Object Categories |
| Learning Image Statistics for | bayesian | Tracking |
| Learning iteratively a classifier with the | bayesian | Model Averaging Principle |
| Learning Multi-category Classification in | bayesian | Framework |
| Learning spatial relations for object-specific segmentation using | bayesian | network model |
| Learning stick-figure models using nonparametric | bayesian | priors over trees |
| Learning Strategies for the Interference Covariance Structure Based on a | bayesian | Approach |
| Learning structures of interval-based | bayesian | networks in probabilistic generative model for human complex activity recognition |
| Learning Temporal Context in Active Object Recognition Using | bayesian | Analysis |
| Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic | bayesian | Network |
| Learning the Face Prior for | bayesian | Face Recognition |
| Learning to Select Pre-Trained Deep Representations with | bayesian | Evidence Framework |
| Learning Visual Recognition With | bayesian | Networks |
| Left-Luggage Detection using | bayesian | Inference |
| level set method based on the | bayesian | risk for medical image segmentation, A |
| Leveraging the | bayesian | Filtering Paradigm for Vision-Based Facial Affective State Estimation |
| LiBRe: A Practical | bayesian | Approach to Adversarial Detection |
| Lightning Location System Detections as Evidence: A Unique | bayesian | Framework |
| Likelihood-enhanced | bayesian | constrained local models |
| Likelihood-free | bayesian | inference framework for sizing kiwifruit from orchard imaging surveys |
| Linear-Time Algorithm in | bayesian | Image Denoising based on Gaussian Markov Random Field |
| Linking Neighborhood Characteristics and Drug-Related Police Interventions: A | bayesian | Spatial Analysis |
| Linking Remote Sensing with APSIM through Emulation and | bayesian | Optimization to Improve Yield Prediction |
| Local and Global | bayesian | Network based Model for Flood Prediction |
| Local | bayesian | image restoration using variational methods and Gamma-Normal distributions |
| Local Kernels That Approximate | bayesian | Regularization and Proximal Operators |
| Localization of More Sources Than Sensors via Jointly-Sparse | bayesian | Learning |
| Locally Adaptive Shearlet Denoising Based on | bayesian | MAP Estimate |
| Locally adaptive wavelet domain | bayesian | processor for denoising medical ultrasound images using speckle modelling based on rayleigh distribution |
| Logical labeling using | bayesian | networks |
| Long term tracking using | bayesian | networks |
| Lossless Predictive Coding for Images With | bayesian | Treatment |
| Lossless predictive coding with | bayesian | treatment |
| Low-level computational mono and stereo vision: A | bayesian | approach |
| Low-Rank | bayesian | Temporal Matrix Factorization for the Transfer Time Prediction Between Metro and Bus Systems, A |
| Low-Rank Tensor | bayesian | Filter Framework For Multi-Modal Analysis, A |
| Low-Rank Tensor Completion: A Pseudo- | bayesian | Learning Approach |
| Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for | bayesian | Reconstruction of Low-Dose CT |
| Machine Learning Based Channel Estimation for 5G NR-V2V Communications: Sparse | bayesian | Learning and Gaussian Progress Regression |
| Make Me a BNN: A Simple Strategy for Estimating | bayesian | Uncertainty from Pre-trained Models |
| Manhattan World: Compass Direction from a Single Image by | bayesian | Inference |
| Manipulation Pattern Discovery: A Nonparametric | bayesian | Approach |
| map estimation algorithm for | bayesian | polynomial regression on riemannian manifolds, A |
| Mapping Forest Restoration Probability and Driving Archetypes Using a | bayesian | Belief Network and SOM: Towards Karst Ecological Restoration in Guizhou, China |
| Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a | bayesian | Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products |
| Mapping of Forest Structural Parameters in Tianshan Mountain Using | bayesian | -Random Forest Model, Synthetic Aperture Radar Sentinel-1A, and Sentinel-2 Imagery |
| Marginal | bayesian | Cramer-Rao Bound for Jump Markov Systems, The |
| Marginal Enumeration | bayesian | Cramer-Rao Bound for Jump Markov Systems, The |
| Markov Random Fields using complex line process: An application to | bayesian | image restoration |
| Matched Shrunken Cone Detector (MSCD): | bayesian | Derivations and Case Studies for Hyperspectral Target Detection |
| Maximal Prime Subgraph Decomposition of | bayesian | Networks |
| Maximum likelihood dosage estimation for | bayesian | transmission tomography |
| Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical | bayesian | Approach Part I: Methodology and Experiments |
| Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical | bayesian | Approach. Part II: Theoretical Analysis |
| Maximum Margin | bayesian | Network Classifiers |
| Maximum Mixture Correntropy Criterion-Based Variational | bayesian | Adaptive Kalman Filter for INS/UWB/GNSS-RTK Integrated Positioning |
| Maximum-a-Posteriori Estimation with | bayesian | Confidence Regions |
| MCMC Approach for | bayesian | Super-Resolution Image Reconstruction, A |
| Mean shift-based | bayesian | image reconstruction into visual subspace |
| Measure-Theoretic Variational | bayesian | Algorithm for Large Dimensional Problems, A |
| Measuring panoramic radiomorphometric indices for mandible bone using active shape model and | bayesian | information criterion-support vector machine |
| Measuring the intensity of spontaneous facial action units with dynamic | bayesian | network |
| Medical image modality classification using discrete | bayesian | networks |
| Medium-Resolution Soil Moisture Retrieval Using the | bayesian | Merging Method |
| Merging and Arbitration Strategy Applied | bayesian | Classification for Eye Location |
| Merging Digital Surface Models Implementing | bayesian | Approaches |
| Method for Online Analysis of Structured Processes Using | bayesian | Filters and Echo State Networks, A |
| Method of speed data fusion based on | bayesian | combination algorithm and high-order multi-variable Markov model |
| Mining boundary effects in areally referenced spatial data using the | bayesian | information criterion |
| Mitigating Prior Errors in Causal Structure Learning: A Resilient Approach via | bayesian | Networks |
| Mixed | bayesian | networks with auxiliary variables for automatic speech recognition |
| Mixed-Initiative Human-Robot Interaction Using Hierarchical | bayesian | Networks |
| Ml and | bayesian | impulse restoration based object recognition in photon limited noise |
| ML Parameter Estimation for Markov Random Fields with Applications to | bayesian | Tomography |
| ML-HDP: A Hierarchical | bayesian | Nonparametric Model for Recognizing Human Actions in Video |
| Mobile Agent Based Distributed Variational | bayesian | Algorithm for Flow and Speed Estimation in a Traffic System, A |
| Model based variational | bayesian | compressive sensing using heavy tailed sparse prior |
| Model Bias in | bayesian | Image Reconstruction from X-Ray Fiber Diffracton Data |
| Model Order Selection for the Singular-Value Decomposition and the Discrete Karhunen-Loeve Transform Using a | bayesian | -Approach |
| Model selection for linear classifiers using | bayesian | error estimation |
| Model Selection Within a | bayesian | Approach to Extraction of Walker Motion |
| Model-Based 3D Object Recognition Using | bayesian | Indexing |
| Model-based | bayesian | feature matching with application to synthetic aperture radar target recognition |
| Model-based decentralized | bayesian | algorithm for distributed compressed sensing |
| Model-Based Hand Tracking Using a Hierarchical | bayesian | Filter |
| Modeling | bayesian | Estimation for Deformable Contours |
| Modeling Non-Gaussian Time Series with Nonparametric | bayesian | Model |
| Modeling of Tree Branches by | bayesian | Network Structure Inference |
| Modeling Parameter Space Behavior of Vision Systems Using | bayesian | Networks |
| Modeling Temporal Interactions with Interval Temporal | bayesian | Networks for Complex Activity Recognition |
| Modeling Writing Styles for Online Writer Identification: A Hierarchical | bayesian | Approach |
| Modeling, Classifying and Annotating Weakly Annotated Images Using | bayesian | Network |
| Modified Sequential Monte Carlo | bayesian | Occupancy Filter Using Linear Opinion Pool for Grid Mapping, A |
| Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet | bayesian | Network |
| Moments and root-mean-square error of the | bayesian | MMSE estimator of classification error in the Gaussian model |
| Monitoring Cliff Erosion with LiDAR Surveys and | bayesian | Network-based Data Analysis |
| Mosaicing a Large Number of Widely Dispersed, Noisy, and Distorted Images: A | bayesian | Approach |
| Motion Based Image Segmentation with Unsupervised | bayesian | Learning |
| Motion Segmentation Using Inference in Dynamic | bayesian | Networks |
| Motion without correspondence from tomographic projections by | bayesian | inversion theory |
| Moving Point Density Estimation Algorithm Based on a Generated | bayesian | Prior |
| Moving Targets in Synthetic Aperture Images: A | bayesian | Approach |
| Moving vehicles segmentation based on | bayesian | framework for Gaussian motion model |
| MRFs for MRIs: | bayesian | Reconstruction of MR Images via Graph Cuts |
| MRI Based | bayesian | Personalization of a Tumor Growth Model |
| Multi-agent Approach for Range Image Segmentation with | bayesian | Edge Regularization, A |
| Multi-camera Pedestrian Detection with Multi-view | bayesian | Network Model |
| Multi-Channel Coupled Variational | bayesian | Framework with Structured Sparse Priors for High-Resolution Imaging of Complex Maneuvering Targets |
| Multi-Domain Adversarial Variational | bayesian | Inference for Domain Generalization |
| Multi-Entity | bayesian | Networks for Knowledge-Driven Analysis of ICH Content |
| Multi-feature max-margin hierarchical | bayesian | model for action recognition |
| Multi-Frame Super-Resolution Combining Demons Registration and Regularized | bayesian | Reconstruction |
| Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse | bayesian | Learning |
| Multi-label classification with | bayesian | network-based chain classifiers |
| Multi-Modal Distance Metric Learning: A | bayesian | Non-parametric Approach |
| Multi-modal face tracking using | bayesian | network |
| multi-object tracker using dynamic | bayesian | networks and a residual neural network based similarity estimator, A |
| Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical | bayesian | Approach |
| Multi-Policy Lazy RAN Slicing With | bayesian | Optimization for Energy-Efficient B5G ITS |
| Multi-scale | bayesian | Based Horizon Matchings Across Faults in 3d Seismic Data |
| Multi-Scale Semi-Transparent Blotch Removal on Archived Photographs using | bayesian | Matting Techniques and Visibility Laws |
| Multi-sensor fusion with | bayesian | inference |
| Multi-Spectral Probabilistic Diffusion Using | bayesian | Classification |
| Multi-Target Tracking: Linking Identities using | bayesian | Network Inference |
| Multi-Task | bayesian | Compressive Sensing Exploiting Intra-Task Dependency |
| Multi-Task | bayesian | Deep Neural Net for Detecting Life-Threatening Infant Incidents From Head Images, A |
| Multi-temporal damage assessment of linear infrastructural objects using Dynamic | bayesian | Networks |
| Multi-view Spatial Integration and Tracking with | bayesian | Networks |
| Multichannel SAR Interferometry via Classical and | bayesian | Estimation Techniques |
| Multiclassification: reject criteria for the | bayesian | combiner |
| Multicue | bayesian | State Estimator for Gaze Prediction in Open Signed Video, A |
| Multiframe | bayesian | Tracking of Cluttered Targets with Random Motion |
| Multifrequency | bayesian | compressive sensing methods for microwave imaging |
| Multigrid | bayesian | Estimation of Image Motion Fields Using Stochastic Relaxation |
| Multilayered 3D LiDAR Image Construction Using Spatial Models in a | bayesian | Framework |
| Multilevel Anomaly Detection Through Variational Autoencoders and | bayesian | Models for Self-Aware Embodied Agents |
| Multilevel Integration of Vision and Speech Understanding Using | bayesian | Networks |
| Multimodal Deep Regression | bayesian | Network for Affective Video Content Analyses, A |
| Multimodal Speaker Detection using Error Feedback Dynamic | bayesian | Networks |
| Multimodality | bayesian | Algorithm for Image-Reconstruction in Positron-Emission-Tomography: A Tissue Composition Model |
| Multioriented Video Scene Text Detection Through | bayesian | Classification and Boundary Growing |
| Multipath Time-Delay Estimation With Impulsive Noise via | bayesian | Compressive Sensing |
| Multipixel Retrieval of Structural and Optical Parameters in a 2-D Scene With a Path-Recycling Monte Carlo Forward Model and a New | bayesian | Inference Engine |
| Multiple Graph Matching with | bayesian | -Inference |
| Multiple Hypotheses | bayesian | Frame Rate Up-Conversion by Adaptive Fusion of Motion-Compensated Interpolations |
| Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way | bayesian | Inference Approach With Progressive Observation Modeling |
| Multiple Resolution | bayesian | Segmentation of Ultrasound Images |
| Multiple-model | bayesian | approach to volumetric imaging of cardiac current sources |
| Multiresolution and Hybrid | bayesian | Algorithms for Automatic Detection of Change Points |
| Multiresolution Stereo: A | bayesian | Approach |
| Multiscale | bayesian | segmentation using a trainable context model |
| Multiscale Hidden Markov Models for | bayesian | Image Analysis |
| Multiscale Random Field Model for | bayesian | Image Segmentation, A |
| Multisnapshot Sparse | bayesian | Learning for DOA |
| Multispectral Image Data Fusion Under a | bayesian | -Approach |
| Multivariate | bayesian | classification of epilepsy EEG signals |
| Multivariate | bayesian | cognitive modeling for unsupervised quality control of baked pizzas |
| Mutual Information Regularized | bayesian | Framework for Multiple Image Restoration |
| Natural Image Segmentation Based on Tree Equipartition, | bayesian | Flooding and Region Merging |
| Network-based sparse | bayesian | classification |
| Neural network for ordinal classification of imbalanced data by minimizing a | bayesian | cost |
| Neuromorphic | bayesian | Surprise for Far-Range Event Detection |
| New | bayesian | Algorithm for Sea Ice Detection With QuikSCAT |
| New | bayesian | Approach to Image Denoising with a Combination of MRFS and Pixon Method, A |
| New | bayesian | Focal Loss Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition |
| New | bayesian | Framework for Object Recognition, A |
| New | bayesian | Method for Range Image Segmentation, A |
| new | bayesian | Poisson denoising algorithm based on nonlocal means and stochastic distances, A |
| New CNN- | bayesian | Model for Extracting Improved Winter Wheat Spatial Distribution from GF-2 imagery, A |
| New Covariance Estimate for | bayesian | Classifiers in Biometric Recognition, A |
| New Look at Image Fusion Methods from a | bayesian | Perspective, A |
| new multiscale | bayesian | algorithm for speckle reduction in medical ultrasound images, A |
| New Multiscale | bayesian | Model Averaging Framework for Texture Segmentation, A |
| New Robust Lunar Landing Selection Method Using the | bayesian | Optimization of Extreme Gradient Boosting Model (BO-XGBoost), A |
| New Urban Road Detection Method In High-resolution Images Based on | bayesian | Network, A |
| NLMS Algorithm with Time-Variant Optimum Stepsize Derived from a | bayesian | Network Perspective, The |
| No-Reference Edge-Preservation Assessment Index for SAR Image Filters under a | bayesian | Framework Based on the Ratio Gradient, A |
| Noise Prior Knowledge Informed | bayesian | Inference Network for Hyperspectral Super-Resolution |
| Noise Removal via | bayesian | Wavelet Coring |
| Noise-Resistant Wavelet-Based | bayesian | Fusion of Multispectral and Hyperspectral Images |
| Non | bayesian | Predictive Approach for Functional Calibration, A |
| non causal | bayesian | framework for object tracking and occlusion handling for the synthesis of stereoscopic video, A |
| Non stationary | bayesian | image restoration |
| Non- | bayesian | Model for Tree Crown Extraction using Marked Point Processes, A |
| Non-Homogeneous MRF Model for Multi-Resolution | bayesian | Estimation, A |
| Non-homogeneous priors in a | bayesian | latent class model for ocean color inversion |
| Non-Linear | bayesian | Image Modelling |
| Non-linear parametric | bayesian | regression for robust background subtraction |
| Non-Naive | bayesian | Classifiers for Classification Problems With Continuous Attributes |
| Non-parametric and unsupervised | bayesian | classification with Bootstrap sampling |
| Non-parametric | bayesian | Constrained Local Models |
| non-parametric | bayesian | model for bounded data, A |
| Non-parametric | bayesian | models of response function in dynamic image sequences |
| Non-parametric | bayesian | Network Prior of Human Pose, A |
| Non-Parametric | bayesian | Registration (NParBR) of Body Tumors in DCE-MRI Data |
| Non-Stationary Approximate | bayesian | Super-Resolution Using a Hierarchical Prior Model |
| Non-stationary, online variational | bayesian | learning, with circular variables |
| Nonconvex | bayesian | Restoration of Blurred Foreground Images |
| Nonlinear multigrid algorithms for | bayesian | optical diffusion tomography |
| Nonlinear Multigrid Optimization for | bayesian | Diffusion Tomography |
| Nonlinear, Noniterative | bayesian | Tomographic Image reconstruction |
| Nonlocal | bayesian | Image Denoising Algorithm, A |
| Nonlocal Prior | bayesian | Tomographic Reconstruction |
| nonparametric | bayesian | approach for enhanced pedestrian detection and foreground segmentation, A |
| Nonparametric | bayesian | Approach toward Stacked Convolutional Independent Component Analysis, A |
| Nonparametric | bayesian | attentive video analysis |
| Nonparametric | bayesian | Dictionary Learning for Analysis of Noisy and Incomplete Images |
| Nonparametric | bayesian | Image Segmentation |
| nonparametric | bayesian | Poisson gamma model for count data, A |
| Nonparametric | bayesian | Regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes |
| Nonparametric Hierarchical | bayesian | Model and Its Application on Multimodal Person Identity Verification, A |
| Nonparametric hierarchical | bayesian | model for functional brain parcellation |
| Novel | bayesian | Classifier with Smaller Eigenvalues Reset by Threshold Based on Given Database, A |
| Novel | bayesian | Framework for Discriminative Feature Extraction in Brain-Computer Interfaces, A |
| Novel | bayesian | Framework for Online Imbalanced Learning, A |
| novel | bayesian | framework for relevance feedback in image content-based retrieval systems, A |
| Novel | bayesian | Logistic Discriminant Model with Dirichlet Distributions: An Application to Face Recognition, A |
| novel | bayesian | logistic discriminant model: An application to face recognition, A |
| Novel | bayesian | Method for Fitting Parametric and Non-Parametric Models to Noisy Data, A |
| Novel | bayesian | multiscale method for speckle removal in medical ultrasound images |
| Novel | bayesian | Spatial -Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery, A |
| Novel | bayesian | Super-Resolution Method for Radar Forward-Looking Imaging Based on Markov Random Field Model, A |
| Novel Border Identification Algorithm Based on an Anti- | bayesian | Paradigm, A |
| novel decoder based on | bayesian | rules for task-driven object segmentation, A |
| Novel Domain Adaptation | bayesian | Classifier for Updating Land-Cover Maps With Class Differences in Source and Target Domains, A |
| Novel Fast Sparse | bayesian | Learning STAP Algorithm for Conformal Array Radar, A |
| novel method for combining | bayesian | networks, theoretical analysis, and its applications, A |
| Novel Recursive | bayesian | Learning-Based Method for the Efficient and Accurate Segmentation of Video With Dynamic Background, A |
| Novel Sparse | bayesian | Space-Time Adaptive Processing Algorithm to Mitigate Off-Grid Effects, A |
| novel two-tier | bayesian | based method for hair segmentation, A |
| Object categorization using boosting within Hierarchical | bayesian | model |
| Object Detection in Single SAR Images via a Saliency Framework Integrating | bayesian | Inference and Adaptive Iteration |
| Object Identification in a | bayesian | Context |
| Object identification: A | bayesian | analysis with application to traffic surveillance |
| Object Localization by | bayesian | Correlation |
| Object Perception: Generative Image Models and | bayesian | Inference |
| Object Recognition Model Based on Visual Grammars and | bayesian | Networks, An |
| Object Recognition Research: Matched Filtering Becomes | bayesian | Reasoning |
| Object Recognition Using a | bayesian | Network Imitating Human Neocortex |
| Object Tracking Using Naive | bayesian | Classifiers |
| Object Tracking with | bayesian | Estimation of Dynamic Layer Representations |
| Object-based analysis and interpretation of human motion in sports video sequences by dynamic | bayesian | networks |
| Occam's Razor and | bayesian | Analysis |
| Occlusion and Visible Background and Foreground Areas in Stereo: A | bayesian | Approach |
| Occlusion Detection and Tracking Method Based on | bayesian | Decision Theory |
| Off-Grid Compressive Sensing Algorithm Based on Sparse | bayesian | Learning for RFPA Radar, An |
| Omnidirectional Localization in vSLAM with Uncertainty Propagation and | bayesian | Regression |
| On Achieving Near-Optimal Anti- | bayesian | Order Statistics-Based Classification for Asymmetric Exponential Distributions |
| On | bayesian | Adaptive Video Super Resolution |
| On | bayesian | classification with Laplace priors |
| On | bayesian | Estimation in Manifolds |
| On | bayesian | Network Classifiers with Reduced Precision Parameters |
| On Compatible Priors for | bayesian | Networks |
| On Dempster-Shafer and | bayesian | detectors |
| On Missing Data Treatment for Degraded Video and Film Archives: A Survey and a New | bayesian | Approach |
| On naive | bayesian | fusion of dependent classifiers |
| On Optimality of Deterministic Rules in Adversarial | bayesian | Detection |
| On Preserving Original Variables in | bayesian | PCA With Application to Image Analysis |
| On Resource-Efficient | bayesian | Network Classifiers and Deep Neural Networks |
| On Some | bayesian | /Regularization Methods for Image Restoration |
| On Symbol-Wise Variational | bayesian | CSI Estimation and Detection for Distributed Antenna Systems Subjected to Multiple Unknown Jammers |
| On the Asymptotic MSE-Optimality of Parametric | bayesian | Channel Estimation in mmWave Systems |
| On the | bayesian | deconvolution of planets |
| On the classification of dynamical data streams using novel Anti- | bayesian | techniques |
| On the Efficient Implementation of Sparse | bayesian | Learning-Based STAP Algorithms |
| On the Hierarchical | bayesian | Approach to Image Restoration: Applications to Astronomical Images |
| On the Impact of Model Compression for | bayesian | Federated Learning: An Analysis on Healthcare Data |
| On the Limitations of the | bayesian | Cramer-Rao Bound for Mixed-Resolution Data |
| On the Optimality of the Simple | bayesian | Classifier under Zero-One Loss |
| On the Potential of | bayesian | Neural Networks for Estimating Chlorophyll-a Concentration from Satellite Data |
| On the Use of Gibbs Priors for | bayesian | Image Restoration |
| On-line learning of the transition model for Recursive | bayesian | Estimation |
| on-line variational | bayesian | model for multi-person tracking from cluttered scenes, An |
| Online | bayesian | learning and classification of ship-to-ship interactions for port safety |
| Online | bayesian | Non-parametrics for Social Group Detection |
| Online | bayesian | Video Summarization and Linking |
| Online Discriminative Feature Selection in a | bayesian | Framework using Shape and Appearance |
| Online failure detection and correction for | bayesian | sparse feature-based object tracking |
| Online Learning with | bayesian | Classification Trees |
| Online Nonparametric | bayesian | Activity Mining and Analysis From Surveillance Video |
| Online Variational | bayesian | Motion Averaging |
| Online Video Segmentation by | bayesian | Split-Merge Clustering |
| Online-Learning-Based | bayesian | Decision Rule for Fast Intra Mode and CU Partitioning Algorithm in HEVC Screen Content Coding |
| Ontology-Driven | bayesian | Networks for Dynamic Scene Understanding |
| Optical diffusion tomography by iterative-coordinate-descent optimization in a | bayesian | framework |
| Optical-Pattern Recognition Using | bayesian | Classification |
| Optimal Anti- | bayesian | Parametric Pattern Classification for the Exponential Family Using Order Statistics Criteria |
| Optimal anti- | bayesian | Parametric Pattern Classification Using Order Statistics Criteria |
| Optimal | bayesian | Estimator for Absorption Coefficient in Diffuse Optical Tomography, An |
| Optimal | bayesian | Hough Transform for Line Detection, An |
| Optimal | bayesian | Resampling for OFDM Signaling Over Multi-scale Multi-lag Channels |
| Optimal | bayesian | Transfer Regression |
| Optimal Classifier Fusion in a Non- | bayesian | Probabilistic Framework |
| Optimal classifiers with minimum expected error within a | bayesian | framework - Part I: Discrete and Gaussian models |
| Optimal classifiers with minimum expected error within a | bayesian | framework - Part II: Properties and performance analysis |
| Optimization of neural classifiers based on | bayesian | decision boundaries and idle neurons pruning |
| Optimized Interaction Strategy for | bayesian | Reference Feedback, An |
| Optimized Long Short-Term Memory Network for LiDAR-Based Vehicle Trajectory Prediction Through | bayesian | Optimization |
| Optimizing Ecosystem Service Patterns with Dynamic | bayesian | Networks for Sustainable Land Management Under Climate Change: A Case Study in China's Sanjiangyuan Region |
| Optimizing Regularized Cholesky Score for Order-Based Learning of | bayesian | Networks |
| Optimum | bayesian | thresholds for rebalanced classification problems using class-switching ensembles |
| PAC- | bayesian | analysis of distribution dependent priors: tighter risk bounds and stability analysis |
| PACTran: PAC- | bayesian | Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks |
| Pan-sharpening based on nonparametric | bayesian | adaptive dictionary learning |
| Parallelizable | bayesian | Tomography Algorithms with Rapid, Guaranteed Convergence |
| Parallelized | bayesian | Inversion for Three-Dimensional Dental X-ray Imaging |
| Parameter Estimation in | bayesian | High-Resolution Image Reconstruction with Multisensors |
| Parameter Estimation in | bayesian | Reconstruction of Multispectral Images using Super Resolution Techniques |
| Parameter estimation in | bayesian | reconstruction of SPECT images: An aid in nuclear medicine diagnosis |
| Parameter Estimation in | bayesian | Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images |
| Parameter estimation in | bayesian | super-resolution pansharpening using contourlets |
| Parameterizing interpersonal behaviour with Laban movement analysis: A | bayesian | approach |
| Part-based | bayesian | recognition using implicit polynomial invariants |
| Partial Volume | bayesian | Classification of Material Mixtures in MR Volume Data Using Voxel Histograms |
| Partially Linear | bayesian | Estimation Using Mixed-Resolution Data |
| Parzen-Based Distance Between Probability Measures as an Alternative of Summary Statistics in Approximate | bayesian | Computation, A |
| Passing-yielding intention estimation during lane change conflict: A semantic-based | bayesian | inference method |
| Patch Group Based | bayesian | Learning for Blind Image Denoising |
| Patch-Based Video Processing: A Variational | bayesian | Approach |
| Pattern recognition with a | bayesian | kernel combination machine |
| Pattern-Coupled Sparse | bayesian | Learning for Inverse Synthetic Aperture Radar Imaging |
| Pectoralis Muscle Segmentation on CT Images Based on | bayesian | Graph Cuts with a Subject-Tailored Atlas |
| Pedestrian Path Prediction with Recursive | bayesian | Filters: A Comparative Study |
| Perceptual image quality assessment based on | bayesian | networks |
| Perceptual Knowledge Extraction Using | bayesian | Networks of Salient Image Objects |
| Perceptual Organization Using | bayesian | Networks |
| Performance comparison of | bayesian | iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography |
| Peripheral Nerve Segmentation Using Speckle Removal and | bayesian | Shape Models |
| Person Re-Identification in Panoramic Views Based on | bayesian | Transformers |
| Person re-identification with deep dense feature representation and Joint | bayesian | |
| Personal identification based on acoustic characteristics of outer ear using cepstral analysis, | bayesian | classifier, and artificial neural networks |
| Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and | bayesian | Inference |
| Personalizing Gesture Recognition Using Hierarchical | bayesian | Neural Networks |
| PFT Visual Attention Detection Model Using | bayesian | Framework, A |
| Phase-error estimation and image reconstruction from digital-holography data using a | bayesian | framework |
| Phenology-guided | bayesian | -CNN (PB-CNN) framework for soybean yield estimation and uncertainty analysis, A |
| phone-viseme dynamic | bayesian | network for audio-visual automatic speech recognition, A |
| Photogrammetric Reconstruction With | bayesian | Information |
| Photometric Stereo Using Sparse | bayesian | Regression for General Diffuse Surfaces |
| PicHunter: | bayesian | relevance feedback for image retrieval |
| Pitman-Yor Diffusion Trees for | bayesian | Hierarchical Clustering |
| Planner-Agnostic Monitor for Behaviour Feasibility of Autonomous Vehicles Using a | bayesian | Discriminator, A |
| Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in | bayesian | Inference |
| Point Event Cluster Detection via the | bayesian | Generalized Fused Lasso |
| Pose Evaluation Based on | bayesian | classification Error |
| Practical Reliable | bayesian | Recognition of 2D and 3D Objects Using Implicit Polynomials and Algebraic Invariants |
| Predicting Asphalt Pavement Deterioration Under Climate Change Uncertainty Using | bayesian | Neural Network |
| Predicting Continuous Conflict Perception with | bayesian | Gaussian Processes |
| Predicting Detection Events from | bayesian | Scene Recognition |
| Predicting Winter Wheat Yield with Dual-Year Spectral Fusion, | bayesian | Wisdom, and Cross-Environmental Validation |
| Predictive complex event processing based on evolving | bayesian | networks |
| Primitive-Based Shape Abstraction via Nonparametric | bayesian | Inference |
| Principal Manifolds and | bayesian | Subspaces for Visual Recognition |
| Probabilistic | bayesian | Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors, A |
| Probabilistic Conflicts in a Search Algorithm for Estimating Posterior Probabilities in | bayesian | Networks |
| Probabilistic Fusion Tracking Using Mixture Kernel-Based | bayesian | Filtering |
| Probabilistic Latent Factor Model for Collaborative Filtering with | bayesian | Inference |
| Probabilistic Measure for Signature Verification Based on | bayesian | Learning |
| Probabilistic Modeling of Train Operations for Uncertainty Quantification: A Context-Aware | bayesian | Network Approach |
| Probabilistic Reconstruction of Orthodox Churches From Precision Point Clouds Using | bayesian | Networks And Cellular Automata |
| Probabilities for | bayesian | Networks in Vision |
| Product Approximation by Minimizing the Upper Bound of Bayes Error Rate for | bayesian | Combination of Classifiers |
| Progressive 3D mesh compression using MOG-based | bayesian | entropy coding and gradual prediction |
| Propagating Imprecise Probabilities in | bayesian | Networks |
| Proximal Residual Flows for | bayesian | Inverse Problems |
| Pseudo-2-D Transdimensional | bayesian | Inversion of the Full Waveform TEM Response From PRBS Source |
| Pseudo-Marginal | bayesian | Inference for Gaussian Processes |
| Pseudo-Marginal | bayesian | Multiple-Class Multiple-Kernel Learning for Neuroimaging Data |
| Psychophysically Inspired | bayesian | Occlusion Model to Recognize Occluded Faces |
| Qualitative | bayesian | Estimation Of Digital Signals And Images |
| Quantifying Model Uncertainty in Inverse Problems via | bayesian | Deep Gradient Descent |
| Quantifying Registration Uncertainty With Sparse | bayesian | Modelling |
| Quantifying Snow-Ground Backscatter Uncertainty: A | bayesian | Approach Using Multifrequency SAR and In-Situ Observations |
| Quantifying Uncertainty in Motion Prediction with Variational | bayesian | Mixture |
| Quantifying Uncertainty in Projections of Desertification in Central Asia Using | bayesian | Networks |
| Quantitative Analysis of Dynamic Contrast-Enhanced MR Images Based on | bayesian | P-Splines |
| Quantitative comparison of FBP, EM, and | bayesian | reconstruction algorithms for the indyPET scanner |
| Quantitative Estimation of Fluorescence Parameters for Crop Leaves with | bayesian | Inversion |
| Random Forest Algorithm Combined with | bayesian | Optimization for Atmospheric Duct Estimation, A |
| Ranking prior likelihood distributions for | bayesian | shape localization framework |
| Rapid spline-based kernel density estimation for | bayesian | networks |
| Rare-Event Detection by Quasi-Wang-Landau Monte Carlo Sampling with Approximate | bayesian | Computation |
| Real-Time Adaptive Hand Motion Recognition Using a Sparse | bayesian | Classifier |
| Real-Time Aerial Suspicious Analysis (ASANA) System for the Identification and Re-Identification of Suspicious Individuals using the | bayesian | ScatterNet Hybrid (BSH) Network |
| Real-Time | bayesian | 3-D Pose Tracking |
| Real-Time Human Stress Monitoring System Using Dynamic | bayesian | Network, A |
| Real-time indoor scene understanding using | bayesian | filtering with motion cues |
| Real-time Interpretation of Hand Motions using a Sparse | bayesian | Classifier on Motion Gradient Orientation Images |
| Real-Time Semi-Automatic Segmentation Using a | bayesian | Network |
| Rear-End Collision Risk Evaluation and Control Scheme Using a | bayesian | Network Model, A |
| Receiver Operating Curves and Optimal | bayesian | Operating Points |
| Recognition of Action as a | bayesian | Parameter Estimation Problem over Time |
| Recognition of Broken Characters from Historical Printed Books Using Dynamic | bayesian | Networks |
| Recognition of degraded characters using dynamic | bayesian | networks |
| Recognizing hand gestures using dynamic | bayesian | network |
| Recognizing Interaction Activities using Dynamic | bayesian | Network |
| Recognizing mice, vegetables and hand printed characters based on implicit polynomials, invariants and | bayesian | methods |
| Recognizing Visual Categories with Symbol-Relational Grammars and | bayesian | Networks |
| Reconstructed Variational | bayesian | Kalman Filter Under Heavy-Tailed and Skewed Noises |
| Reconstructing Activity Location Sequences From Incomplete Check-In Data: A Semi-Markov Continuous-Time | bayesian | Network Model |
| Reconstruction of High-Temporal- and High-Spatial-Resolution Reflectance Datasets Using Difference Construction and | bayesian | Unmixing |
| Reconstruction-Aware Imaging System Ranking by Use of a Sparsity-Driven Numerical Observer Enabled by Variational | bayesian | Inference |
| Recurrent | bayesian | Network for the Recognition of Human Behaviors from Video |
| recursive | bayesian | approach to describe retinal vasculature geometry, A |
| recursive | bayesian | approach to pattern recognition, A |
| Recursive | bayesian | beamforming with uncertain projected steering vector and strong interferences |
| Recursive | bayesian | Control of Multichannel Acoustic Echo Cancellation |
| Recursive | bayesian | Filtering for Multiple Human Pose Tracking from Multiple Cameras |
| Recursive | bayesian | fire recognition using greedy margin-maximizing clustering |
| Reducing descriptor measurement error through | bayesian | estimation of fingerprint minutia location and direction |
| Refine Stereo Correspondence Using | bayesian | Network and Dynamic Programming on a Color Based Minimal Span Tree |
| Region-Level Image Authentication Using | bayesian | Structural Content Abstraction |
| Region-Level Motion-Based Foreground Segmentation Under a | bayesian | Network |
| Region-of-interest segmentation based on | bayesian | theorem for H.264 video transcoding |
| Registration of PET and MR Hand Volumes Using | bayesian | Networks |
| Regularization by Denoising: | bayesian | Model and Langevin-Within-Split Gibbs Sampling |
| Regularized | bayesian | Metric Learning for Person Re-identification |
| Regularized Restoration of Scintigraphic Images in | bayesian | Frameworks |
| Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical | bayesian | Models |
| Rehashing for | bayesian | geometric hashing |
| Reject Option for VQ-based | bayesian | Classification |
| Relation between | bayesian | Fisher information and Shannon information for detecting a change in a parameter |
| Relational Dynamic | bayesian | Networks to Improve Multi-target Tracking |
| Relevance feedback in content-based image retrieval: | bayesian | framework, feature subspaces, and progressive learning |
| Relevance feedback using generalized | bayesian | framework with region-based optimization learning |
| Relevance Voxel Machine (RVoxM): A Self-Tuning | bayesian | Model for Informative Image-Based Prediction, The |
| Remote Sensing Crop Recognition by Coupling Phenological Features and Off-Center | bayesian | Deep Learning |
| Remote Sensing-Based Application of | bayesian | Networks for Epithermal Gold Potential Mapping in Ahar-Arasbaran Area, NW Iran, A |
| Remotely Sensed Monitoring of Small Reservoir Dynamics: A | bayesian | Approach |
| Representing local structure in | bayesian | networks by Boolean functions |
| Research on Application of Weighted Sampling | bayesian | Network Parameter Learning in Bridge Condition Assessment |
| Research on High Robustness Underwater Target Estimation Method Based on Variational Sparse | bayesian | Inference |
| Research on Security Defense of Coupled Transportation and Cyber-Physical Power System Based on the Static | bayesian | Game |
| Resident Location-Recognition Algorithm Using a | bayesian | Classifier in the PIR Sensor-Based Indoor Location-Aware System |
| Restoration of ultrasound images using a hierarchical | bayesian | model with a generalized Gaussian prior |
| Results of the Use of | bayesian | Classifiers for Identification of Breast Cancer Cell Nuclei |
| Rethinking | bayesian | Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation |
| Retinal fundus image registration framework using | bayesian | integration and asymmetric Gaussian mixture model |
| Retrieval of Water Quality Parameters from Hyperspectral Images Using Hybrid | bayesian | Probabilistic Neural Network |
| Reversible Jump MCMC in | bayesian | Blind Deconvolution With a Spherical Prior, A |
| Review of | bayesian | Spatiotemporal Models in Spatial Epidemiology, A |
| RGB-D saliency detection under | bayesian | framework |
| Riemannian | bayesian | estimation of diffusion tensor images |
| Riemannian | bayesian | Framework for Estimating Diffusion Tensor Images, A |
| Road environment modeling using robust perspective analysis and recursive | bayesian | segmentation |
| Road tracking in aerial images based on human-computer interaction and | bayesian | filtering |
| Roadside pedestrian motion prediction using | bayesian | methods and particle filter |
| Robust Appearance-based Tracking using a sparse | bayesian | classifier |
| Robust | bayesian | Analysis of Early-Stage Parkinson's Disease Progression Using DaTscan Images |
| Robust | bayesian | cameras motion estimation using random sampling |
| Robust | bayesian | Estimation and Normalized Convolution for Super-resolution Image Reconstruction |
| Robust | bayesian | method for simultaneous block sparse signal recovery with applications to face recognition |
| Robust | bayesian | Multisensor Fusion Algorithm for Joint Lane and Pavement Boundary Detection, A |
| robust | bayesian | network for articulated motion classification, A |
| Robust | bayesian | Neural Networks by Spectral Expectation Bound Regularization |
| Robust | bayesian | non-parametric dictionary learning with heterogeneous Gaussian noise |
| Robust | bayesian | PCA with Student's t-distribution: The variational inference approach |
| Robust | bayesian | Precoding for Mitigation of TDD Hardware Calibration Errors |
| Robust Distance Metric Learning via | bayesian | Inference |
| Robust dynamical model for simultaneous registration and segmentation in a variational framework: A | bayesian | approach |
| Robust Empirical | bayesian | Reconstruction of Distributed Sources for Electromagnetic Brain Imaging |
| Robust fingerprint classification with | bayesian | convolutional networks |
| Robust fuzzy c-means clustering algorithm using non-parametric | bayesian | estimation in wavelet transform domain for noisy MR brain image segmentation |
| Robust Head Tracking Based on Multiple Cues Fusion in the Kernel- | bayesian | Framework |
| Robust Iterative Super-Resolution Reconstruction of Image Sequences using a Lorentzian | bayesian | Approach with Fast Affine Block-Based Registration, A |
| Robust modeling and recognition of hand gestures with dynamic | bayesian | network |
| Robust multi-agent reinforcement learning via | bayesian | distributional value estimation |
| Robust multiple cameras pedestrian detection with multi-view | bayesian | network |
| Robust Multiple-Measurement Sparsity-Aware STAP with | bayesian | Variational Autoencoder |
| Robust One-Bit | bayesian | Compressed Sensing with Sign-Flip Errors |
| Robust Optic-Flow Estimation with | bayesian | Inference of Model and Hyper-parameters |
| Robust Point Set Matching under Variational | bayesian | Framework |
| Robust Position Estimator Using | bayesian | Sparse Prior Against GNSS MP/NLOS Outliers, A |
| Robust Real-Time Pattern Matching Using | bayesian | Sequential Hypothesis Testing |
| Robust signal recovery using | bayesian | compressed sensing based on Lomax prior |
| Robust Sonar ATR Through | bayesian | Pose-Corrected Sparse Classification |
| Robust spatial-temporal | bayesian | view synthesis for video stitching with occlusion handling |
| Robust Underwater Direction-of-Arrival Tracking Based on AI-Aided Variational | bayesian | Extended Kalman Filter |
| Robust Variational | bayesian | Point Set Registration |
| Room Impulse Response Reconstruction Using Pattern-Coupled Sparse | bayesian | Learning With Spherical Waves |
| Root Sparse | bayesian | Learning for Off-Grid DOA Estimation |
| Rough- | bayesian | approach to select class-pair specific descriptors for HEp-2 cell staining pattern recognition |
| RubiX: Combining Spatial Resolutions for | bayesian | Inference of Crossing Fibers in Diffusion MRI |
| Saliency detection via Boolean and foreground in a dynamic | bayesian | framework |
| Salient object detection using octonion with | bayesian | inference |
| Salient object detection with high-level prior based on | bayesian | fusion |
| Salient Region Detection via Discriminative Dictionary Learning and Joint | bayesian | Inference |
| Sample-Efficient Optimization Using | bayesian | Neural Networks |
| Sampling-Resampling Based | bayesian | Learning Approach for Object Tracking, A |
| SAR Ground Moving Target Imaging Algorithm Based on Parametric and Dynamic Sparse | bayesian | Learning |
| SAR image denoising via | bayesian | wavelet shrinkage based on heavy-tailed modeling |
| Satellite-Based Flood Mapping through | bayesian | Inference from a Sentinel-1 SAR Datacube |
| Satellite-Derived Aerosol Optical Depth Fusion Combining Active and Passive Remote Sensing Based on | bayesian | Maximum Entropy |
| Scalable | bayesian | Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization |
| Scan-Specific Self-Supervised | bayesian | Deep Non-Linear Inversion for Undersampled MRI Reconstruction |
| Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and | bayesian | networks |
| Scene-space methods for | bayesian | inference of 3d shape and motion |
| Score-Based Diffusion Models for | bayesian | Image Reconstruction |
| Searching for the best elimination sequence in | bayesian | networks by using ant colony optimization |
| Segmentation of Handwritten Kanji Numerals Integrating Peripheral Information by | bayesian | Rule |
| Segmentation of Textured Satellite and Aerial Images by | bayesian | Inference |
| Selection of Thresholding Scheme for Image Noise Reduction on Wavelet Components Using | bayesian | Estimation |
| Self-supervised | bayesian | Deep Learning for Image Recovery with Applications to Compressive Sensing |
| Self-tuning density estimation based on | bayesian | averaging of adaptive kernel density estimations yields state-of-the-art performance |
| Semantic modeling of natural scenes based on contextual | bayesian | networks |
| Semantic Modelling of Ship Behavior in Harbor Based on Ontology and Dynamic | bayesian | Network |
| semBnet: A semantic | bayesian | network for multivariate prediction of meteorological time series data |
| Semi-supervised Learning based on | bayesian | Networks and Optimization for Interactive Image Retrieval |
| Semi-supervised Online | bayesian | Network Learner for Handwritten Characters Recognition |
| Semi-supervised Online Learning of Handwritten Characters Using a | bayesian | Classifier |
| Separated-Spectral-Distribution Estimation Based on | bayesian | Inference with Single RGB Camera |
| Separating Occluded Humans by | bayesian | Pixel Classifier with Re-weighted Posterior Probability |
| Separation of multiplicative image components by | bayesian | Independent Component Analysis |
| Sequential | bayesian | Algorithms for Identification and Blind Equalization of Unit-Norm Channels |
| sequential | bayesian | approach to color constancy using non-uniform filters, A |
| Sequential | bayesian | Model Update under Structured Scene Prior for Semantic Road Scenes Labeling |
| Sequential | bayesian | segmentation of remote sensing images |
| Sequential Fish Catch Forecasting Using | bayesian | State Space Models |
| Sequential Monte Carlo for | bayesian | Matching of Objects with Occlusions |
| Sequential Monte Carlo Method for | bayesian | Face Recognition, A |
| Set-valued | bayesian | inference with probabilistic equivalence |
| Shadow Segmentation in SAS and SAR Using | bayesian | Elastic Contours |
| Shallow | bayesian | Meta Learning for Real-World Few-Shot Recognition |
| Shape-Based Online Multitarget Tracking and Detection for Targets Causing Multiple Measurements: Variational | bayesian | Clustering and Lossless Data Association |
| ShapeOdds: Variational | bayesian | Learning of Generative Shape Models |
| Signature verification using a modified | bayesian | network |
| Simple | bayesian | Framework for Content-Based Image Retrieval, A |
| Simulation-Based Model for Continuous Network Design Problem Using | bayesian | Optimization, A |
| Simultaneous 3D object tracking and camera parameter estimation by | bayesian | methods and transdimensional MCMC sampling |
| Simultaneous segmentation of range and color images based on | bayesian | decision theory |
| Simultaneous Sparse | bayesian | Learning With Partially Shared Supports |
| Single-frame text super-resolution: a | bayesian | approach |
| Singular Vectors of a Linear Imaging System as Efficient Channels for the | bayesian | Ideal Observer |
| Skills Assessment of Users in Medical Training Based on Virtual Reality Using | bayesian | Networks |
| Skin detection A | bayesian | network approach |
| Slip and fall event detection using | bayesian | Belief Network |
| Smooth Image Segmentation by Nonparametric | bayesian | Inference |
| Soil Moisture Mapping Based on Multi-Source Fusion of Optical, Near-Infrared, Thermal Infrared, and Digital Elevation Model Data via the | bayesian | Maximum Entropy Framework |
| Source-Detector calibration in three-dimensional | bayesian | optical diffusion tomography |
| Space-Time Adaptive Processing and Motion Parameter Estimation in Multistatic Passive Radar Using Sparse | bayesian | Learning |
| Spam filtering with several novel | bayesian | classifiers |
| Sparse | bayesian | blind image deconvolution with parameter estimation |
| Sparse | bayesian | Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks |
| Sparse | bayesian | image restoration |
| Sparse | bayesian | Imaging of Solar Flares |
| Sparse | bayesian | Learning Assisted Approaches for Road Network Traffic State Estimation |
| Sparse | bayesian | Learning Based Three-Dimensional Imaging Algorithm for Off-Grid Air Targets in MIMO Radar Array |
| Sparse | bayesian | learning for dynamical modelling on product manifolds |
| Sparse | bayesian | Learning for Efficient Visual Tracking |
| Sparse | bayesian | Learning for End-to-End EEG Decoding |
| Sparse | bayesian | Learning of Filters for Efficient Image Expansion |
| Sparse | bayesian | Learning Using Generalized Double Pareto Prior for DOA Estimation |
| Sparse | bayesian | Learning-Based Time-Variant Deconvolution |
| Sparse | bayesian | multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease |
| Sparse | bayesian | Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology |
| Sparse | bayesian | Regression for Grouped Variables in Generalized Linear Models |
| Sparse | bayesian | Regression for Head Pose Estimation |
| Sparse Coding Based Fisher Vector Using a | bayesian | Approach |
| Sparse Discriminant Analysis Based on the | bayesian | Posterior Probability Obtained by L1 Regression |
| Sparse Point Estimation for | bayesian | Regression via Simulated Annealing |
| Sparse Regularization of Interferometric Phase and Amplitude for InSAR Image Formation Based on | bayesian | Representation |
| Sparse semi-supervised heterogeneous interbattery | bayesian | analysis |
| Sparse Structure Learning Algorithm for Gaussian | bayesian | Network Identification from High-Dimensional Data, A |
| sparsity-based | bayesian | approach for hyperspectral unmixing using normal compositional model, A |
| Spatial | bayesian | surprise for image saliency and quality assessment |
| Spatial Densification of Coastal Sea Surface Temperature and Chlorophyll via | bayesian | Kriging |
| Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and | bayesian | Sparse Representation |
| Spatio-Temporal | bayesian | Model for Estimating the Effects of Land Use Change on Urban Heat Island, A |
| Spatio-Temporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial | bayesian | Network (SpaBN) |
| Spatio-Temporal Series Remote Sensing Image Prediction Based on Multi-Dictionary | bayesian | Fusion |
| Spatiotemporal Graph Attention-Based Traffic Speed Prediction Method With | bayesian | Optimization and Evolutionary Algorithm Mutual Feedback Optimization, A |
| Special Issue Introduction, | bayesian | Analysis |
| Speckle Reduction in Sar Images Using a | bayesian | Multiscale Approach |
| Spectral | bayesian | Uncertainty for Image Super-Resolution |
| Spectral Radiance Modeling and | bayesian | Model Averaging for Longwave Infrared Hyperspectral Imagery and Subpixel Target Identification |
| Spectral recovery of outdoor illumination by an extension of the | bayesian | inverse approach to the Gaussian mixture model |
| Specular Reflectance Suppression in Endoscopic Imagery via Stochastic | bayesian | Estimation |
| Speech Privacy for Sound Surveillance Using Super-Resolution Based on Maximum Likelihood and | bayesian | Linear Regression |
| SPRINT: Spectra Preserving Radiance Image Fusion Technique using holistic deep edge spatial attention and Minnaert guided | bayesian | probabilistic model |
| Stability evaluation of neural and | bayesian | classifiers: A new insight |
| Stacked | bayesian | Matching Pursuit for One-Bit Compressed Sensing |
| Standard platform for sensor fusion on advanced driver assistance system using | bayesian | Network |
| Statistical Analysis of SF Occurrence in Middle and Low Latitudes Using | bayesian | Network Automatic Identification |
| Statistical model of color and disparity with application to | bayesian | stereopsis |
| Statistical Modeling of 3-D Natural Scenes With Application to | bayesian | Stereopsis |
| Statistical Morphology and | bayesian | Reconstruction |
| Statistical, | bayesian | Tomographic Image Reconstruction |
| Statistical-based approach for driving style recognition using | bayesian | probability with kernel density estimation |
| Step Towards Efficient | bayesian | Signal Reconstruction, A |
| Stereo without Disparity Gradient Smoothing: A | bayesian | Sensor Fusion Solution |
| Stochastic Calibration of Automated Vehicle Car-Following Control: An Approximate | bayesian | Computation Approach |
| Stochastic Demand Dynamic Traffic Models Using Generalized Beta-Gaussian | bayesian | Networks |
| Stochastic margin-based structure learning of | bayesian | network classifiers |
| stochastic method for | bayesian | estimation of hidden Markov random field models with application to a color model, A |
| stochastic model of selective visual attention with a dynamic | bayesian | network, A |
| Stochastic Normalizations as | bayesian | Learning |
| Stochastic Relaxation, Gibbs Distributions, and the | bayesian | Restoration of Images |
| Stopping Criterion Design for Recursive | bayesian | Classification: Analysis and Decision Geometry |
| Stretching | bayesian | Learning in the Relevance Feedback of Image Retrieval |
| Structure and View Estimation for Tomographic Reconstruction: A | bayesian | Approach |
| Structure Inference for | bayesian | Multisensory Scene Understanding |
| Structure Learning of | bayesian | Networks by Finding the Optimal Ordering |
| Structure Learning of | bayesian | Networks By Genetic Algorithms: A Performance Analysis of Control Parameters |
| Structure-From-Motion Without Correspondence From Tomographic Projections by | bayesian | Inversion Theory |
| Structure-Induced Complex Kalman Filter for Decentralized Sequential | bayesian | Estimation |
| Structured Variational | bayesian | Inference for Gaussian State-Space Models With Regime Switching |
| study of contextual modeling and texture craracterization for multiscale | bayesian | segmentation, A |
| Study on Supervised Classification of Remote Sensing Satellite Image by | bayesian | Algorithm Using Average Fuzzy Intracluster Distance, A |
| Style Adaptive | bayesian | Tracking Using Explicit Manifold Learning |
| Sub-pixel | bayesian | -Estimation of Albedo and Height |
| Subspace distance analysis with application to adaptive | bayesian | algorithm for face recognition |
| Super-Resolution Image Reconstruction Using Nonparametric | bayesian | INLA Approximation |
| Super-Resolution Using Hidden Markov Model and | bayesian | Detection Estimation Framework |
| Super-resolution via recapture and | bayesian | effect modeling |
| Super-template Generation Using Successive | bayesian | Estimation for Fingerprint Enrollment |
| Superresolution ISAR Imaging Based on Sparse | bayesian | Learning |
| Supervised Constrained Optimization of | bayesian | Nonlocal Means Filter With Sigma Preselection for Despeckling SAR Images |
| Supervised Fuzzy and | bayesian | Classification of High Dimensional Data: a Comparative Study |
| Surrogate Modeling for | bayesian | Optimization Beyond a Single Gaussian Process |
| Survey of Non-Exchangeable Priors for | bayesian | Nonparametric Models, A |
| Survey on | bayesian | Deep Learning, A |
| Switching Auxiliary Chains for Speech Recognition based on Dynamic | bayesian | Networks |
| Symbol Detection of Phase Noise-Impaired Massive MIMO Using Approximate | bayesian | Inference |
| Synthetic Gradient Optimization-Based Implicit Amortized | bayesian | Meta-Learning for Few-Shot Pumi Spectrographic Image Recognition |
| Taking the Human Out of the Loop: A Review of | bayesian | Optimization |
| Target Detection via | bayesian | -Morphological Saliency in High-Resolution SAR Images |
| Target Identification Comparison of | bayesian | and Dempster-Shafer Multisensor Fusion, A |
| Target Identification with | bayesian | Networks in a Multiple Hypothesis Tracking System |
| Target recognition for coastal surveillance based on radar images and generalised | bayesian | inference |
| Task Driven 3D Object Recognition System Using | bayesian | Networks, A |
| Temporal | bayesian | Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities |
| temporal | bayesian | model for classifying, detecting and localizing activities in video sequences, A |
| Temporal | bayesian | Network based contextual framework for structured information mining |
| Temporal | bayesian | Networks for Scenario Recognition |
| Temporal Filter Design for Encoder-Oriented Video Generation Based on | bayesian | Optimization |
| Temporal reasoning for scenario recognition in video-surveillance using | bayesian | networks |
| Temporal video segmentation with natural language using text-video cross attention and | bayesian | order-priors |
| Tensor RPCA by | bayesian | CP Factorization with Complex Noise |
| Terrain Modeling From Lidar Range Data in Natural Landscapes: A Predictive and | bayesian | Framework |
| Texture classification by multi-model feature integration using | bayesian | networks |
| Texture-Based Segmentation Using Markov Random Field Models and Approximate | bayesian | Estimators Based on Trees |
| Theory and Practice of | bayesian | Image Labeling, The |
| Thin-Plate as a Regularizer in | bayesian | SPECT Reconstruction, The |
| Three-Dimensional | bayesian | Inversion With Application to Subsurface Sensing |
| Three-dimensional | bayesian | optical image reconstruction with domain decomposition |
| tight upper bound on the | bayesian | probability of error, A |
| Time-Extended | bayesian | Retrieval of Dual-Polarization Radar Data Enhancing Short-Term Precipitation Forecasts |
| Time-Series Classification Using Mixed-State Dynamic | bayesian | Networks |
| Topological Dynamic | bayesian | Networks |
| Topological dynamic | bayesian | networks: Application to human face identification across ages |
| Toward a Model-Based | bayesian | Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two of More Images Taken from Different Positions |
| Toward a Sparse | bayesian | Markov Random Field Approach to Hyperspectral Unmixing and Classification |
| Toward Reliable Models For Authenticating Multimedia Content: Detecting Resampling Artifacts With | bayesian | Neural Networks |
| Toward Template-Based Tolerancing from a | bayesian | Viewpoint |
| Towards aesthetics of image: A | bayesian | framework for color harmony modeling |
| Towards | bayesian | real-time optical flow |
| Towards Compact 1-bit CNNs via | bayesian | Learning |
| Towards complex activity recognition using a | bayesian | network-based probabilistic generative framework |
| Towards Real-Time Crack Detection Using a Deep Neural Network With a | bayesian | Fusion Algorithm |
| Tracker-Level Fusion for Robust | bayesian | Visual Tracking |
| Tracking by Parts: A | bayesian | Approach With Component Collaboration |
| Tracking Discontinuous Motion using | bayesian | Inference |
| Tracking Multiple Cells by Correspondence Resolution in a Sequential | bayesian | Framework |
| Tracking Multiple Persons Based on a Variational | bayesian | Model |
| Tracking periodic motion using | bayesian | estimation |
| Tracking using | bayesian | inference with a two-layer Graphical Model |
| Tractable learning of | bayesian | networks from partially observed data |
| Traffic Estimation and Prediction via Online Variational | bayesian | Subspace Filtering |
| Traffic Volume Estimate Based on Low Penetration Connected Vehicle Data at Signalized Intersections: A | bayesian | Deduction Approach |
| Trajectory analysis and semantic region modeling using a nonparametric | bayesian | model |
| Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical | bayesian | Models |
| Transferable Modeling Framework for Improving the Cooling Effect of Urban Green Space: Multi-Temporal Sampling, 3D Morphological Reconstruction and | bayesian | Network, A |
| Transitioning From CRD to CDRD in | bayesian | Retrieval of Rainfall From Satellite Passive Microwave Measurements: Part 2. Overcoming Database Profile Selection Ambiguity by Consideration of Meteorological Control on Microphysics |
| Transliteration of online handwritten phonetic Pitman's shorthand with the use of a | bayesian | network |
| tree structured | bayesian | scalar quantizer for wavelet based image compression, A |
| Tree-Structured Compressive Sensing With Variational | bayesian | Analysis |
| Tree-Structured Markov Random Field Model for | bayesian | Image Segmentation, A |
| tutorial on particle filters for on-line non-linear/non-Gaussian | bayesian | tracking, A |
| Two | bayesian | image restoration algorithms from partially-known blurs |
| Two | bayesian | methods for junction classification |
| Two Dimensional | bayesian | Estimate of Images |
| Two heuristics for arranging the order of feature-extraction operations in recursive | bayesian | decision rule |
| Two New | bayesian | Approximations of Belief Functions Based on Convex Geometry |
| Two Novel | bayesian | Multiscale Approaches for Speckle Suppression in SAR Images |
| Two-Dimensional | bayesian | Estimator for Image Filtering |
| Two-Dimensional Pattern-Coupled Sparse | bayesian | Learning via Generalized Approximate Message Passing |
| Two-Stage Fast Inter CU Decision for HEVC Based on | bayesian | Method and Conditional Random Fields |
| Two-step Fuzzy- | bayesian | Classification for High Dimensional Data, A |
| Ultrasound Image Segmentation Using a Point Distribution Model in a | bayesian | Framework |
| Uncertainties in | bayesian | geometric models |
| Uncertainty estimation in HDR imaging with | bayesian | neural networks |
| Uncertainty in Pose Estimation: A | bayesian | Approach |
| Uncertainty Quantification of Soil Moisture Estimations Based on a | bayesian | Probabilistic Inversion |
| Uncertainty-Aware Audiovisual Activity Recognition Using Deep | bayesian | Variational Inference |
| Uncertainty-Aware Local | bayesian | Framework for Hyperspectral Image Classification With Noisy Labels |
| Undecimated wavelet-based | bayesian | denoising in mixed Poisson-Gaussian noise with application on medical and biological images |
| Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative Sparse | bayesian | Learning |
| Underdetermined DOA estimation using coprime array via multiple measurement sparse | bayesian | learning |
| Understanding | bayesian | Rooms Using Composite 3D Object Models |
| Understanding Camera Trade-Offs through a | bayesian | Analysis of Light Field Projections |
| Unified | bayesian | Approach to Multi-Frame Super-Resolution and Single-Image Upsampling in Multi-Sensor Imaging, A |
| Unified | bayesian | Framework for Adaptive Visual Tracking, A |
| unified | bayesian | framework for face recognition, A |
| Unified | bayesian | Inference Framework for Generalized Linear Models, A |
| unified | bayesian | mixture model framework via spatial information for grayscale image segmentation, A |
| Unified Experiment Design, | bayesian | Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging |
| unified probabilistic framework for automatic 3D facial expression analysis based on a | bayesian | belief inference and statistical feature models, A |
| Uniform | bayesian | Framework for Integration, A |
| Unifying Regularization and | bayesian | Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part I: Theory |
| Unifying Regularization and | bayesian | Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part II: Implementation and Performance Issues |
| Unmixing-Based | bayesian | Model for Spatio-Temporal Satellite Image Fusion in Heterogeneous Landscapes, An |
| Unrolled Variational | bayesian | Algorithm for Image Blind Deconvolution |
| Unsupervised Activity Perception by Hierarchical | bayesian | Models |
| Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical | bayesian | Models |
| Unsupervised and Non-Parametric | bayesian | Classifier, An |
| unsupervised and non-parametric | bayesian | Image segmentation, An |
| Unsupervised | bayesian | Convex Deconvolution Based on a Field With an Explicit Partition Function |
| Unsupervised | bayesian | Detection of Independent Motion in Crowds |
| Unsupervised | bayesian | Estimation for Segmenting Textured Images |
| Unsupervised | bayesian | image segmentation using orthogonal series |
| Unsupervised | bayesian | Image Segmentation Using Wavelet-Domain Hidden Markov Models |
| Unsupervised | bayesian | Model-Learning with Application to Textured and Polynomial Image Segmentation |
| Unsupervised Grouped Axial Data Modeling via Hierarchical | bayesian | Nonparametric Models With Watson Distributions |
| Unsupervised hierarchical image segmentation based on | bayesian | sequential partitioning |
| Unsupervised Long-Term Routine Modelling Using Dynamic | bayesian | Networks |
| Unsupervised Multistage Image Classification Using Hierarchical Clustering With a | bayesian | Similarity Measure |
| Unsupervised Tibetan speech features Learning based on Dynamic | bayesian | Networks |
| Unveiling Deviations from IPCC Temperature Projections through | bayesian | Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region |
| Urban Flood Detection with Sentinel-1 Multi-Temporal Synthetic Aperture Radar (SAR) Observations in a | bayesian | Framework: A Case Study for Hurricane Matthew |
| Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via | bayesian | Network Fusion |
| Urban land use extraction from Very High Resolution remote sensing imagery using a | bayesian | network |
| Use of Semantic and Physical Constraints in | bayesian | Networks for Form Recognition |
| Using | bayesian | Network for combining classifiers |
| Using | bayesian | Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography |
| Using | bayesian | statistics and Gabor Wavelets for recognition of human faces |
| Using CNN with | bayesian | optimization to identify cerebral micro-bleeds |
| Using dynamic | bayesian | network for scene modeling and anomaly detection |
| Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of | bayesian | Networks |
| Using fast classification of static and dynamic environment for improving | bayesian | occupancy filter (BOF) and tracking |
| Using Hidden Nodes in | bayesian | Networks |
| Using Importance Sampling for | bayesian | Feature Space Filtering |
| Using the | bayesian | Network to Map Large-Scale Cropping Intensity by Fusing Multi-Source Data |
| Using traditional and | bayesian | neural networks for fast parameter estimation in SAR images |
| Using Tsallis Entropy into a | bayesian | Network for CBIR |
| Utilizing Satellite Surface Soil Moisture Data in Calibrating a Distributed Hydrological Model Applied in Humid Regions Through a Multi-Objective | bayesian | Hierarchical Framework |
| Utilizing Variational Autoencoders in the | bayesian | Inverse Problem of Photoacoustic Tomography |
| V2V Energy Trading in Residential Microgrids Considering Multiple Constraints via | bayesian | Game |
| Vacant Parking Space Detection Based on Plane-Based | bayesian | Hierarchical Framework |
| variance-based | bayesian | framework for improving Land-Cover classification through wide-area learning from large geographic regions, A |
| Variational | bayesian | and Generalized Approximate Message Passing-Based Sparse Bayesian Learning Model for Image Reconstruction |
| Variational | bayesian | and Generalized Approximate Message Passing-Based Sparse Bayesian Learning Model for Image Reconstruction |
| Variational | bayesian | Approach for Classification with Corrupted Inputs, A |
| variational | bayesian | approach for frequency diverse non-linear microwave imaging, A |
| variational | bayesian | approach for multimodal multi-instance classification, A |
| variational | bayesian | approach to number of sources estimation for multichannel blind deconvolution, A |
| Variational | bayesian | Blind Color Deconvolution of Histopathological Images |
| Variational | bayesian | Blind Deconvolution Using a Total Variation Prior |
| Variational | bayesian | Blind Image Deconvolution with Student-T Priors |
| Variational | bayesian | Compressive Multipolarization Indoor Radar Imaging |
| Variational | bayesian | deep network for blind Poisson denoising |
| Variational | bayesian | Dropout With a Hierarchical Prior |
| Variational | bayesian | EM Algorithm for Tree Similarity, A |
| Variational | bayesian | image processing on stochastic factor graphs |
| Variational | bayesian | Image Restoration Based on a Product of t-Distributions Image Prior |
| Variational | bayesian | Image Restoration With a Product of Spatially Weighted Total Variation Image Priors |
| Variational | bayesian | image restoration with multi-structured model of wavelet transform coefficients |
| Variational | bayesian | Inference for Audio-Visual Tracking of Multiple Speakers |
| Variational | bayesian | inference for forward-backward visual tracking in stereo sequences |
| Variational | bayesian | Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension, A |
| Variational | bayesian | Inference-Based En-Decoder Framework for Traffic Flow Prediction, A |
| Variational | bayesian | Matrix Factorization for Bounded Support Data |
| Variational | bayesian | Method for Retinex |
| variational | bayesian | method for similarity learning in non-rigid image registration, A |
| variational | bayesian | methodology for hidden Markov models utilizing Student's-t mixtures, A |
| Variational | bayesian | Methods For Multimedia Problems |
| Variational | bayesian | Multiple Instance Learning with Gaussian Processes |
| Variational | bayesian | Orthogonal Nonnegative Matrix Factorization Over the Stiefel Manifold |
| Variational | bayesian | Semi-Supervised Keyword Extraction |
| Variational | bayesian | Sequence-to-sequence Networks for Memory-Efficient Sign Language Translation |
| Variational | bayesian | Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors |
| Variational | bayesian | Super Resolution |
| Variational | bayesian | View of Weighted Trace Norm Regularization for Matrix Factorization |
| variational method for | bayesian | blind image deconvolution, A |
| Variational- | bayesian | Single-Image Devignetting |
| VB-KGN: Variational | bayesian | Kernel Generation Networks for Motion Image Deblurring |
| Vehicle Detection in Aerial Surveillance Using Dynamic | bayesian | Networks |
| Vehicle Localization Based on | bayesian | Tensor Decomposition in Intelligent Transportation Systems |
| Vehicle Re-Identification by Deep Feature Fusion Based on Joint | bayesian | Criterion |
| Vehicle Trajectory Prediction Considering Driver Uncertainty and Vehicle Dynamics Based on Dynamic | bayesian | Network |
| Velocity Estimation on the | bayesian | Occupancy Filter for Multi-Target Tracking |
| Versatile | bayesian | classifier for moving object detection by non-parametric background-foreground modeling |
| Very Simple Safe- | bayesian | Random Forest, A |
| Video and Image | bayesian | Demosaicing with a Two Color Image Prior |
| Video Denoising via Empirical | bayesian | Estimation of Space-Time Patches |
| Video Event Detection Based Non-stationary | bayesian | Networks |
| Video Modeling by Spatio-Temporal Resampling and | bayesian | Fusion |
| Video Sequence Modeling by Dynamic | bayesian | Networks: A Systematic Approach from Coarse-to-Fine Grains |
| Video-Based Face Recognition Using | bayesian | Inference Model |
| View-Invariant Gait Representation Using Joint | bayesian | Regularized Non-negative Matrix Factorization |
| Virtual Mouse interface based on Two-layered | bayesian | Network, A |
| Vision-Based Guitarist Fingering Tracking Using a | bayesian | Classifier and Particle Filters |
| vision-based method for weeds identification through the | bayesian | decision theory, A |
| Vision-Based Self-contained Target Following Robot Using | bayesian | Data Fusion |
| Vision-Based Speaker Detection Using | bayesian | Networks |
| Visual features with semantic combination using | bayesian | network for a more effective image retrieval |
| Visual information fusion for object-based video image segmentation using unsupervised | bayesian | online learning |
| Visual saliency detection based on | bayesian | model |
| Visual Tracker Using Sequential | bayesian | Learning: Discriminative, Generative, and Hybrid |
| Visual tracking and dynamic learning on the Grassmann manifold with inference from a | bayesian | framework and state space models |
| Visual Tracking by Continuous Density Propagation in Sequential | bayesian | Filtering Framework |
| Visual Workflow Recognition Using a Variational | bayesian | Treatment of Multistream Fused Hidden Markov Models |
| Volcano-Seismic Transfer Learning and Uncertainty Quantification With | bayesian | Neural Networks |
| VQ Based | bayesian | Image Filtering |
| Wasserstein approximate | bayesian | computation for visual tracking |
| Wavelet | bayesian | Network Image Denoising |
| Wavelet domain | bayesian | processor for speckle removal in medical ultrasound images |
| Wavelet-Based | bayesian | Image Estimation: From Marginal and Bivariate Prior Models to Multivariate Prior Models |
| Wavelet-based variational | bayesian | ECG denoising |
| Weighted | bayesian | Network for Visual Tracking |
| Weighted Majority Vote Strategy Using | bayesian | Networks, A |
| Weighted Pseudometric Discriminatory Power Improvement Using a | bayesian | Logistic Regression Model Based on a Variational Method |
| What Local Environments Drive Opportunities for Social Events? A New Approach Based on | bayesian | Modeling in Dallas, Texas, USA |
| When a Generalized Linear Model Meets | bayesian | Maximum Entropy: A Novel Spatiotemporal Ground-Level Ozone Concentration Retrieval Method |
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