Index for stoch

_stochastic_
1D stochastic Inversion of Airborne Time-Domain Electromagnetic Data with Realistic Prior and Accounting for the Forward Modeling Error
2-D stochastic Configuration Networks for Image Data Analytics
3D Hand Tracking in a stochastic Approximation Setting
3D Human Pose Estimation Using stochastic Optimization in Real Time
3D model-based hand tracking using stochastic direct search method
3D Modeling Using a Statistical Sensor Model and stochastic Search
3D Reconstruction of Vessel Lumen from Very Few Angiograms by Dynamic Contours Using a stochastic Approach
3D stochastic completion fields for fiber tractography
3D stochastic Completion Fields for Mapping Connectivity in Diffusion MRI
A(DP)^2SGD: Asynchronous Decentralized Parallel stochastic Gradient Descent With Differential Privacy
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Absolute Phase Image-Reconstruction: A stochastic Nonlinear Filtering Approach
Accelerated Variance Reduction stochastic ADMM for Large-Scale Machine Learning
Accelerating Topic Detection on Web for a Large-Scale Data Set via stochastic Poisson Deconvolution
Acoustic Analysis of a Structure Subjected to stochastic Excitation Using Statistical Wave Superposition Approach
Adaptive bistable stochastic resonance based blind watermark extraction in discrete cosine transform domain
Adaptive Constant Modulus Blind Equalization Algorithm and Its stochastic Stability Analysis, An
adaptive enhancement method based on stochastic parallel gradient descent of glioma image, An
Adaptive finite-time stabilization of a class of stochastic nonlinear systems
Adaptive Image Resizing Based on Continuous-Domain stochastic Modeling
Adaptive motion estimation in video coding with a stochastic model
Adaptive Noise Injection for Training stochastic Student Networks from Deterministic Teachers
Adaptive Parameter Estimation of Person Recognition Model in a stochastic Human Tracking Process
Adaptive stochastic Gradient Descent Optimisation for Image Registration
Adaptive stochastic segmentation via energy-convergence for brain tumor in MR images
Adaptive stochastic-Approximation Algorithm for Simultaneous Diagonalization of Matrix Sequences with Applications, An
Adaptive tracking control for a class of stochastic mechanical systems
Adaptive Vehicle Navigation With En Route stochastic Traffic Information
Adversarial Training With stochastic Weight Average
Affective Movement Recognition Based on Generative and Discriminative stochastic Dynamic Models
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition
Algorithms for stochastic approximations of curvature flows
alternative stochastic supervisor in discriminant analysis, An
Ambrosio-Tortorelli Segmentation of stochastic Images
Ambrosio-Tortorelli Segmentation of stochastic Images: Model Extensions, Theoretical Investigations and Numerical Methods
analysis of a stochastic differential approach for langevine comepetitive learning algorithm, The
Analysis of stochastic Automata Algorithm for Relaxation Labelling
Analysis of stochastic Distances and Wishart Mixture Models Applied on PolSAR Images
Analysis of stochastic k-Coverage and Connectivity in Sensor Networks With Boundary Deployment
Analysis of Texture Using a stochastic Model
Analysis of the Error in the Reconstruction of N-Dimensional stochastic Processes
Analytic Expressions for stochastic Distances Between Relaxed Complex Wishart Distributions
Analytic Solution of stochastic Completion Fields
Analytical study of performance of linear discriminant analysis in stochastic settings
Analyzing and Reducing DTI Tracking Uncertainty by Combining Deterministic and stochastic Approaches
Animating pictures with stochastic motion textures
Anomaly detection in streaming data with gaussian process based stochastic differential equations
Appearance debiased gaze estimation via stochastic subject-wise adversarial learning
Application of Backward stochastic Differential Equations to Reconstruction of Vector-Valued Images
Application of entropic measures of stochastic dependence in pattern recognition
Application of stochastic Grammars to Understanding Action
Application of stochastic Languages to Fingerprint Pattern Recognition, An
Applications of stochastic Texture Field Models to Image Processing
Applying stochastic second-order entropy images to multi-modal image registration
Approximate Bayesian computation, stochastic algorithms and non-local means for complex noise models
Approximating GED Using a stochastic Generator and Multistart IPFP
Articulated Body Motion Capture by stochastic Search
Artifact Removal from Single-Trial ERPs using Non-Gaussian stochastic Volatility Models and Particle Filter
Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using stochastic Dynamic Programming
Assessment of Different stochastic Models for Inter-System Bias between GPS and BDS
Assortative-Constrained stochastic Block Models
Auto Encoding Explanatory Examples with stochastic Paths
Auto-Tuning Structured Light by Optical stochastic Gradient Descent
Automatic Delineation of Water Bodies in SAR Images with a Novel stochastic Distance Approach
Automatic Detection of Song Changes in Music Mixes Using stochastic Models
Automatic Finding of Main Roads in Aerial Images by Using Geometric-stochastic Models and Estimation
Averaged stochastic Optimization for Medical Image Registration Based on Variance Reduction
Bagging stochastic Watershed on Natural Color Image Segmentation
Basis Tensor Decomposition for Restoring Intra-Voxel Structure and stochastic Walks for Inferring Brain Connectivity in DT-MRI
Bayesian Approach for stochastic White Matter Tractography, A
Bayesian Classification of Task-Oriented Actions Based on stochastic Context-Free Grammar
Bayesian Posterior Approximation With stochastic Ensembles
Bayesian Precalibration of a Large stochastic Microsimulation Model
Bayesian stochastic Mesh Optimization for 3D reconstruction
Bayesian-Approach to Dynamic Contours Through stochastic Sampling and Simulated Annealing, A
Behavioral analysis of bar charts in documents via stochastic petri-net modeling
Bi-modal First Impressions Recognition Using Temporally Ordered Deep Audio and stochastic Visual Features
Binary image enhancement based on aperiodic stochastic resonance
Binary tomography reconstructions of bone microstructure from few projections with stochastic level-set methods
Binary Tomography Reconstructions With stochastic Level-Set Methods
Blind Deblurring of Natural stochastic Textures Using an Anisotropic Fractal Model and Phase Retrieval Algorithm
Bobrovsky-Zakai-Type Bound for Periodic stochastic Filtering
Boosting Adversarial Robustness using Feature Level stochastic Smoothing
Boosting stochastic Newton with Entropy Constraint for Large-Scale Image Classification
Bound analysis of natural gradient descent in stochastic optimization setting
Breaking substitution cyphers using stochastic automata
Building Blocks for Computer Vision with stochastic Partial Differential Equations
Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with stochastic Birth-Death Dynamics
Byzantine-Resilient Decentralized stochastic Gradient Descent
Calibrated Adversarial Refinement for stochastic Semantic Segmentation
Car Pooling Model and Solution Method With stochastic Vehicle Travel Times, A
Cellular proteomic characterization using Active Shape and Non-Gaussinan stochastic texture models
Channel-Max, Channel-Drop and stochastic Max-pooling
Character recognition by stochastic sectionalgram approach
Character spotting using image-based stochastic models
Chinese Character Recognition by a stochastic Sectionalgram Method
Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for stochastic Model of Leaf Optical Properties (SLOP) Inversion
Class of stochastic Models for Invariant Recognition, Motion, and Stereo, A
Classification of binary vectors by using SC distance to minimize stochastic complexity
Classification of Boundaries on the Plane Using stochastic Models
Cluster Validation for Unsupervised stochastic Model-Based Image Segmentation
Clustered stochastic Optimization for Object Recognition and Pose Estimation
Collision-Free Adaptive Fuzzy Formation Control for stochastic Nonlinear Multiagent Systems
Color Image Superresolution Based on a stochastic Combinational Classification-Regression Algorithm
Combination of N-Grams and stochastic Context-Free Grammars in an Offline Handwritten Recognition System
Combining Deep Convolutional Neural Networks with stochastic Ensemble Weight Optimization for Facial Expression Recognition in the Wild
Combining long-range dependencies with phase information in Natural stochastic Texture enhancement
Combining stochastic and Deterministic Search for Pose-Invariant Facial Expression Recognition
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through stochastic Contraction
Comment on Computer Rendering of stochastic Models
Community detection in the stochastic block model by mixed integer programming
Comparison of stochastic and Deterministic Solution Methods in Bayesian Estimation of 2-D Motion, A
Comparison of stochastic filtering methods for 3D tracking
Comparison of the Efficiency of Deterministic and stochastic Algorithms for Visual Reconstruction
Competitive stochastic Neural Networks for Vector Quantization of Images
Complex Activity Representation and Recognition by Extended stochastic Grammar
Composing ensembles by a stochastic approach under execution time constraint
Compound stochastic Models For Fingerprint Individuality
Compressive Detection of stochastic Sparse Signals With Unknown Sparsity Degree
Computationally Efficient Hyperspectral Data Learning Based on the Doubly stochastic Dirichlet Process
Computationally Tractable stochastic Image Modeling Based on Symmetric Markov Mesh Random Fields
Computer Rendering of stochastic Models
Computing stochastic Completion Fields in Linear-Time Using a Resolution Pyramid
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using stochastic Grammars
Consistency of stochastic Context-Free Grammars from Probabilistic Estimation Based on Growth Transformations
Constrained stochastic Gradient Descent: The Good Practice
Containment Control of Autonomous Underwater Vehicles With stochastic Environment Disturbances
Content Adaptive Watermark Embedding in the Multiwavelet Transform Using a stochastic Image Model
Content-based image retrieval using stochastic paintbrush transformation
Content-Based Video Retrieval by Integrating Spatio-Temporal and stochastic recognition of events
Continuous Voxel Classification by stochastic Relaxation - Theory and Application to MR-Imaging and MR-Angiography
Contour Tracking by stochastic Propagation of Conditional Density
Contrast enhancement of dark images using stochastic resonance
Contrast in speckled imagery with stochastic distances
Coordinated Transit Signal Priority Model Considering stochastic Bus Arrival Time
Cost function adaptation: A stochastic Gradient Algorithm for Data Echo Cancellation
Crash Probability and Error Rates for Head-On Collisions Based on stochastic Analyses
Creating animations combining stochastic paintbrush transformation and motion detection
Curve Evolution, Boundary-value stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications
Cycle Consistency Based Method for Learning Disentangled Representation for stochastic Video Prediction
d-SNE: Domain Adaptation Using stochastic Neighborhood Embedding
Deblurring via stochastic Refinement
Decentralized stochastic Optimization With Random Attendance
Deep Decomposition for stochastic Normal-Abnormal Transport
Deep Networks with stochastic Depth
Deep Sketch-Shape Hashing With Segmented 3D stochastic Viewing
Deep stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification, A
DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using stochastic Domain Decomposition
DeeSCo: Deep heterogeneous ensemble with stochastic Combinatory loss for gaze estimation
Deformable model guided by stochastic speed with application in cine images segmentation
Deformable Region Model Using stochastic Processes Applied to Echocardiographic Images, A
Deformable Shapes Detection by stochastic Optimization
Dehazing of color image using stochastic enhancement
Delay-Tolerant stochastic Algorithms for Parking Space Assignment
Denoising of natural stochastic colored-textures based on fractional brownian motion model
Design an Aperiodic stochastic Resonance Signal Processor for Digital Watermarking
Detection and description of moving objects by stochastic modelling and analysis of complex scenes
Determining stochastic dependence for normally distributed vectors using the chi-squared metric
Deterministic and stochastic Methods for Gaze Tracking in Real-Time
Deterministic and stochastic Petri Net Model for Traffic-Responsive Signaling Control in Urban Areas, A
Devanagari OCR using a recognition driven segmentation framework and stochastic language models
Development and Evaluation of stochastic-Based Visual Textures Features
Dictionary-Based stochastic Expectation-Maximization for SAR Amplitude Probability Density Function Estimation
Diffraction tomography from intensity measurements: An evolutionary stochastic search to invert experimental data
Diffusion Bridges for stochastic Hamiltonian Systems and Shape Evolutions
Direct Derivation of the stochastic CRB of DOA Estimation for Rectilinear Sources
Direction-based stochastic matching for pedestrian recognition in non-overlapping cameras
Discontinuity-Preserving Surface Reconstruction Using stochastic Differential Equations
Discovering Video Shot Categories by Unsupervised stochastic Graph Partition
Discrete Contextual stochastic Model for the Offline Recognition of Handwritten Chinese Characters, A
Discrete stochastic Growth Models for Two-Dimensional Shapes
Discriminant analysis of stochastic models and its application to face recognition
Discriminant analysis with a stochastic supervisor
Disparity estimation using color coherence and stochastic diffusion
Distance-Free Image Retrieval Based on stochastic Diffusion over Bipartite Graphs
Distributed Detection of Sparse stochastic Signals via Fusion of 1-bit Local Likelihood Ratios
Distributed stochastic Algorithm Based on Enhanced Genetic Algorithm for Path Planning of Multi-UAV Cooperative Area Search
Distributed stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems
Distributed stochastic Model Predictive Control for Human-Leading Heavy-Duty Truck Platoon
Distributed stochastic Model Predictive Control With Taguchi's Robustness for Vehicle Platooning
Distributed stochastic MPC Traffic Signal Control for Urban Networks
Distribution System Planning Considering stochastic EV Penetration and V2G Behavior
Distributionally Robust Optimization Based Model Predictive Control for stochastic Mixed Traffic Flow
Diverse Conditional Image Generation by stochastic Regression with Latent Drop-Out Codes
Document understanding system using stochastic context-free grammars
Doubly stochastic Distance Clustering
Doubly stochastic Neighbor Embedding on Spheres
Downscaling Multispectral Satellite Images Without Colocated High-Resolution Data: A stochastic Approach Based on Training Images
Dual-MTGAN: stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis
DVS-Voltmeter: stochastic Process-Based Event Simulator for Dynamic Vision Sensors
Dynamic and stochastic routing for multimodal transportation systems
Dynamic finite state VQ of colour images using stochastic learning
Dynamic Markov random fields for stochastic modeling of visual attention
Dynamical stochastic resonance for non-uniform illumination image enhancement
Effect of stochastic Modeling for Inter-Frequency Biases of Receiver on BDS-3 Five-Frequency Undifferenced and Uncombined Precise Point Positioning
Effect of stochastic Noise on Superior Julia Sets
Efficiency of logistic-normal stochastic supervision
efficient algorithm for exact evaluation of stochastic watersheds, An
Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques
Efficient Bayesian Model Selection in PARAFAC via stochastic Thermodynamic Integration
Efficient coding of homogeneous textures using stochastic vector quantisation and linear prediction
Efficient Entropy Estimation Based on Doubly stochastic Models for Quantized Wavelet Image Data
Efficient Preconditioner for stochastic Gradient Descent Optimization of Image Registration, An
Efficient Schur parametrization of near-stationary stochastic processes
Efficient Sensing of Correlated Spatiotemporal Signals: A stochastic Gradient Approach
Efficient Stereoscopic Ranging via stochastic Sampling of Match Quality
Efficient stochastic Algorithms On Locally Bounded Image Space
efficient stochastic approach for building footprint extraction from digital elevation models, An
efficient stochastic approach to groupwise non-rigid image registration, An
Elastographic image reconstruction: A stochastic state space approach
Electric Vehicle Trip Chain Information-Based Hierarchical stochastic Energy Management With Multiple Uncertainties
Electro-photographic model based stochastic clustered-dot halftoning with direct binary search
Embedding Motion in Model-Based stochastic Tracking
Enforcing stochastic inverse consistency in non-rigid image registration and matching
Enhance Curvature Information by Structured stochastic Quasi-Newton Methods
Enhanced NSGA-II for Solving Berth Allocation and Quay Crane Assignment Problem With stochastic Arrival Times, An
Enhancement of dark and low-contrast images using dynamic stochastic resonance
Enhancement of feature extraction for low-quality fingerprint images using stochastic resonance
Enhancement of variably illuminated document images through noise-induced stochastic resonance
Esaliency (Extended Saliency): Meaningful Attention Using stochastic Image Modeling
Estimating 3D Pose via stochastic Search and Expectation Maximization
Estimating forest stand density and structure using Bayesian individual tree detection, stochastic geometry, and distribution matching
Estimation of 3D Indoor Models with Constraint Propagation and stochastic Reasoning in the Absence of Indoor Measurements
Estimation of ergodicity limits of bag-of-words modeling for guaranteed stochastic convergence
Estimation of link-cost function for cyclists based on stochastic optimisation and GPS traces
Estimation of mixtures of probabilistic PCA with stochastic EM for the 3d biplanar reconstruction of scoliotic rib cage
Euclidean Group Invariant Computation of stochastic Completion Fields Using Shiftable-Twistable Functions
Evaluation of stochastic Gradient Descent Methods for Nonlinear Mapping of Hyperspectral Data
Evaluation of stochastic Models for Analysis and Synthesis of Gray Scale Texture, An
Evaluation of Susceptibility by Mass Movements through stochastic and Statistical Methods for a Region of Bucaramanga, Colombia
Evaluation on Estimators for stochastic and Heuristic Based Cost Functions Using the Epipolar-Constraint, An
Evidence theory for image segmentation using information from stochastic Watershed and Hessian filtering
evolution of stochastic grammars for representation and recognition of activities in videos, The
Evolutionary Game of Perception-Based stochastic User-Equilibrium in a Parallel Network, An
Evolutionary induction of stochastic context free grammars
Evolutionary Search via channel attention based parameter inheritance and stochastic uniform sampled training
exact algorithm for time-dependent variational inference for the dynamic stochastic block model, An
Exact Evaluation of stochastic Watersheds: From Trees to General Graphs
Extraction of Stationary Spectral Components Using stochastic Variability
Fast Binary Quadratic Programming Solver Based on stochastic Neighborhood Search, A
Fast Evaluation of the Robust stochastic Watershed
Fast image search using a multiscale stochastic model
Fast stochastic Context-Free Parsing: A Stochastic Version of the Valiant Algorithm
Fast stochastic Context-Free Parsing: A Stochastic Version of the Valiant Algorithm
Fast stochastic optimization for articulated structure tracking
Fast stochastic second-order method logarithmic in condition number
Fast Training of Object Detection Using stochastic Gradient Descent
Fast Variable Structure stochastic Automaton for Discovering and Tracking Spatiotemporal Event Patterns
Faster First-Order Methods for stochastic Non-Convex Optimization on Riemannian Manifolds
Fault tolerant control for uncertain systems with actuator stochastic failures
Feature selection via binary simultaneous perturbation stochastic approximation
Feature selection with stochastic complexity
Feature-preserving Flows: A stochastic Differential Equation's View
featureless and stochastic approach to on-board stereo vision system pose, A
Features for stochastic approximation based foreground detection
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using stochastic Inference
Figure/Ground Separation Using stochastic Pyramid Relinking
Filter for Visual Tracking Based on a stochastic Model for Driver Behaviour, A
Filtering noise in progressive stochastic ray tracing
Finding Paths With Least Expected Time in stochastic Time-Varying Networks Considering Uncertainty of Prediction Information
Finding the Shortest Path in stochastic Vehicle Routing: A Cardinality Minimization Approach
Fisher Information Matrix for Single Molecules with stochastic Trajectories
Foreground detection for moving cameras with stochastic approximation
From stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity
Full Body Tracking from Multiple Views Using stochastic Sampling
Fusion of LLE and stochastic LEM for Persian handwritten digits recognition
Fuzzy-stochastic functor machine for general humanoid-robot dynamics
Gabor Filter Based on stochastic Computation
General Point-Based Method for Self-Calibration of Terrestrial Laser Scanners Considering stochastic Information, A
general stochastic clustering method for automatic cluster discovery, A
Generalisations of stochastic supervision models
Generalised candidate scheme for the stochastic codebook search of scalable CELP coders
Generalized compressive detection of stochastic signals using Neyman-Pearson theorem
Generalized Factored stochastic Model for Optimal Registration of LIDAR Range Images, A
Generalized stochastic tube model: Tracking 3D blood vessels in MR images
Generating stochastic Dispersed and Periodic Clustered Textures Using a Composite Hybrid Screen
Generation of Single Image Stereograms Based on stochastic Textures
Generative Imputation and stochastic Prediction
geometric stochastic approach based on marked point processes for road mark detection from high resolution aerial images, A
Ghost stochastic Resonance for a Neuron with a Pair of Periodic Inputs
Glance and Glimpse Network: A stochastic Attention Model Driven by Class Saliency
GPU-Based Algorithm for Building stochastic Clustered-Dot Screens, A
Gradient of the Mutual Information in stochastic Systems: A Functional Approach
Graph based model for information retrieval using a stochastic local search
Graph Matching Based on stochastic Perturbation
Graphical stochastic models for tracking applications with variational message passing inference
Group stochastic search for object detection and tracking
Halftoning via direct binary search using analytical and stochastic printer models
Handwritten Hangul character recognition with hierarchical stochastic character representation
Hawkes Processes With stochastic Exogenous Effects for Continuous-Time Interaction Modelling
Hierarchical ASM/AAM Approach in a stochastic Framework for Fully Automatic Tracking and Recognition, A
hierarchical method of map-based stochastic diffusion and disparity estimation, A
Hierarchical stochastic diffusion for disparity estimation
Hierarchical stochastic fast search motion estimation algorithm
Hierarchical stochastic Image Grammars for Classification and Segmentation
Hierarchical Variational Neural Uncertainty Model for stochastic Video Prediction, A
Hierarchy Accelerated stochastic Collision Detection
High contrast stochastic screen-watermarks for color halftone prints
High Dimensional Origin Destination Calibration Using Metamodel Assisted Simultaneous Perturbation stochastic Approximation
High dynamic range map estimation via fully connected random fields with stochastic cliques
High precision gradation compensation for stochastic screening
High Throughput stochastic Log-MAP Turbo-Decoder Based on Low Bits Computation
High-Accuracy and Area-Efficient stochastic FIR Digital Filters Based on Hybrid Computation
High-Order Distance-Based Multiview stochastic Learning in Image Classification
Highly Reliable stochastic Perceptual Watermarking Model Based on Multiwavelet Transform
HMM-Based Continuous Sign Language Recognition Using stochastic Grammars
HMM/MRF-based stochastic framework for robust vehicle tracking, An
Horizontal Flows and Manifold stochastics in Geometric Deep Learning
Human Activities as stochastic Kronecker Graphs
Human Motion Generation by stochastic Conditioning of Deep Recurrent Networks On Pose Manifolds
Human parsing using stochastic and-or grammars and rich appearances
Human-Centric Indoor Scene Synthesis Using stochastic Grammar
hybrid approach for MRF optimization problems: Combination of stochastic sampling and deterministic algorithms, A
Hybrid Global stochastic and Bayesian Linearized Acoustic Seismic Inversion Methodology
Hybrid stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians
Hybrid stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization, A
Hyperspectral Image Classification Based on Convolutional Neural Network Embedded with Attention Mechanism and Shadow Enhancement by Dynamic stochastic Resonance
Hyperspectral Imagery Classification via stochastic HHSVMs
ICM: An efficient data association for SLAM in stochastic mapping
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a stochastic Framework
Identification of stochastic textures with multiresolution features and self-organizing maps
Image Alignment by Online Robust PCA via stochastic Gradient Descent
Image Compression Using stochastic-AFD Based Multisignal Sparse Representation
Image Denoising using stochastic Differential Equations
Image Enhancement and Dynamic Range Compression Using Novel Intensity-Specific stochastic Resonance-Based Parametric Image Enhancement Model
Image enhancement using stochastic resonance
Image Estimation Using Doubly stochastic Gaussian Random Field Models
Image parsing with stochastic grammar: The Lotus Hill dataset and inference scheme
Image Processing And Analysis: Variational, PDE, Wavelet, and stochastic Methods
Image Registration in Electron Microscopy: A stochastic Optimization Approach
Image segmentation via multi-scale stochastic regional texture appearance models
Imaging Applications of stochastic Minimal Graphs
Impact of Pseudo-stochastic Pulse and Phase Center Variation on Precision Orbit Determination of Haiyang-2A from Experimental HY2 Receiver GPS Data
Impact of stochastic Generation/Load Variations on Distributed Optimal Energy Management in DC Microgrids for Transportation Electrification
Impacts of stochastic models on real-time 3D UAV mapping
Implementation of Image Denoising based on Backward stochastic Differential Equations
Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields
improved FSOA based on stochastic search, An
Improved IOHMM-Based stochastic Driver Lane-Changing Model, An
Improved Least stochastic Entropy Algorithm for Strong Noncircular Inputs and Noise, An
Improved Low-Power Cost-Effective DCT Implementation Based on Markov Random Field and stochastic Logic
Improved stochastic Modeling of Shapes for Content-Based Image Retrieval
Improvement of Multi-GNSS Precision and Success Rate Using Realistic stochastic Model of Observations
Improving Consistency and Reducing Ambiguity in stochastic Labeling: An Optimization Approach
Improving Potts MRF model parameter estimation using higher-order neighborhood systems on stochastic image modeling
Improving the Efficacy of Car-Following Models With a New stochastic Parameter Estimation and Calibration Method
Improving the stochastic Model of Ionospheric Delays for BDS Long-Range Real-Time Kinematic Positioning
Improving the stochastic watershed
Incorporating stochastic turbulence in particle-based fluid simulation
Inexact graph matching using stochastic optimization techniques for facial feature recognition
Inference of Restricted stochastic Boolean GRN's by Bayesian Error and Entropy Based Criteria
Inference of stochastic Finite-State Transducers Using N -Gram Mixtures
Inference of stochastic Graph Models for 2-D and 3-D Shapes
Inferring stochastic Regular Grammar with Nearness Information for Human Action Recognition
Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the stochastic Radiative Transfer Model
Information fusion for unsupervised image segmentation using stochastic watershed and Hessian matrix
Initialization and Transfer Learning of stochastic Binary Networks from Real-Valued Ones
integrated geometrical and stochastic approach for accurate infant brain extraction, An
Integration of Visual and Inertial Information for Egomotion: A stochastic Approach
Intelligent Charging Management of Electric Vehicles Considering Dynamic User Behavior and Renewable Energy: A stochastic Game Approach
intensity-based stochastic model for terrestrial laser scanners, An
Intermittent Estimator-Based Mixed Passive and H8 Control for High-Speed Train With Actuator stochastic Fault
International Workshop on stochastic Image Grammars
Inversion of Aerosol Particle Size Distribution Using an Improved stochastic Particle Swarm Optimization Algorithm
Investigation of stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction, An
IoT-Enabled stochastic Operation Management Framework for Smart Grids, An
iPOKE: Poking a Still Image for Controlled stochastic Video Synthesis
Irregular Pyramid Segmentations with stochastic Graph Decimation Strategies
Iterative learning control for stochastic point-to-point tracking system
Iterative Morphology for Fault Detection in stochastic Textures
JEDI: Adaptive stochastic Estimation for Joint Enhancement and Despeckling of Images for SAR
Joint Ground and Aerial Package Delivery Services: A stochastic Optimization Approach
Joint Spatiotemporal Video Compression Based on stochastic Adaptive Fourier Decomposition, A
Joint Training of Generic CNN-CRF Models with stochastic Optimization
Kalman filtering approach to stochastic global and region-of-interest tomography, A
Land Cover Segmentation of Airborne LiDAR Data Using stochastic Atrous Network
Large scale on-line handwritten Chinese character recognition using successor method based on stochastic regular grammar
Large-Scale Nonlinear AUC Maximization via Triply stochastic Gradients
Latent Space of stochastic Diffusion Models for Zero-Shot Image Editing and Guidance, A
Layered shape matching and registration: stochastic sampling with hierarchical graph representation
LayoutVAE: stochastic Scene Layout Generation From a Label Set
Leapfrog Diffusion Model for stochastic Trajectory Prediction
Learning for Optical Flow Using stochastic Optimization
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through stochastic Inferences
Learning image similarity from Flickr groups using stochastic Intersection Kernel Machines
Learning Rates for stochastic Gradient Descent With Nonconvex Objectives
Learning stochastic edit distance: Application in handwritten character recognition
Learning Weight Uncertainty with stochastic Gradient MCMC for Shape Classification
LEO Onboard Real-Time Orbit Determination Using GPS/BDS Data with an Optimal stochastic Model
Librjmcmc: An Open-source Generic C++ Library For stochastic Optimization
lightweight and stochastic depth residual attention network for remote sensing scene classification, A
Likelihood Calculation for a Class of Multiscale stochastic-Models, with Application to Texture-Discrimination
Likelihood Calculation for a Class of Multiscale stochastic-Models, with Application to Texture-Discrimination: Correction
Likelihood-Based Adaptive Learning in stochastic State-Based Models
Likelihood-based texture discrimination with multiscale stochastic models
Limits of fluidification for a stochastic Petri nets by timed continuous Petri nets
Linear manifold clustering in high dimensional spaces by stochastic search
Local Parallel Computation of stochastic Completion Fields
Local-feature-based similarity measure for stochastic resonance in visual perception of spatially structured images
Localization of Shapes Using Statistical Models and stochastic Optimization
Logistical Planning for Electric Vehicles Under Time-Dependent stochastic Traffic
Logo Extraction Using Combined Discrete Wavelet Transform and Dynamic stochastic Resonance
Logo Extraction Using Dynamic stochastic Resonance
Lossy Compression of stochastic Halftones with JBIG2
Low-Cost Lipschitz-Independent Adaptive Importance Sampling of stochastic Gradients
LS-VCE Applied to stochastic Modeling of GNSS Observation Noise and Process Noise
MAP-Based stochastic Diffusion for Stereo Matching and Line Fields Estimation
Maximum Entropy Information Bottleneck for Uncertainty-aware stochastic Embedding
Maximum-Likelihood Parameter Estimation for Unsupervised stochastic Model-Based Image Segmentation
measure for spatial dependence in natural stochastic textures, A
Measurement-Based stochastic Model for High-Speed Railway Channels, A
Medical image reconstruction from sparse samples using Simultaneous Perturbation stochastic Optimization
Memetic Algorithm for Real-Time Combinatorial stochastic Simulation Optimization Problems With Performance Analysis
Memory-Free stochastic Weight Averaging by One-Way Variational Pruning
Mesoscale Structure in Urban-Rural Mobility Networks in the Pearl River Delta Area: A Weighted stochastic Block Modeling Analysis
Methods of Digital Restoration of Signals Degraded by a stochastic Impulse Response
MGRF Controlled stochastic Deformable Model
Microarray image gridding with stochastic search based approaches
Milstein-driven neural stochastic differential equation model with uncertainty estimates
Minimal stochastic Complexity Image Partitioning With Unknown Noise Model
Minimizing stochastic moire in frequency-modulated halftones by means of green-noise masks
Minimum Entropy Rate Simplification of stochastic Processes
Modal Activity-Based stochastic Model for Estimating Vehicle Trajectories from Sparse Mobile Sensor Data
Model-Fitting Approach to Cluster Validation with Application to stochastic Model-Based Image Segmentation, A
Modeling and Analysis of BDS-2 and BDS-3 Combined Precise Time and Frequency Transfer Considering stochastic Models of Inter-System Bias
Modeling and Control Using stochastic Distribution Control Theory for Intersection Traffic Flow
Modeling and Forecasting the Urban Volume Using stochastic Differential Equations
Modeling and Recognition of Driving Behavior Based on stochastic Switched ARX Model
Modeling Evacuation Risk Using a stochastic Process Formulation of Mesoscopic Dynamic Network Loading
Modeling of Retinal Optical Coherence Tomography Based on stochastic Differential Equations: Application to Denoising
Modeling stochastic Behavior of Road Networks With Disruptions Using Percolation Theory
Modeling Strategic Route Choice and Real-Time Information Impacts in stochastic and Time-Dependent Networks
Modeling symmetries for stochastic structural recognition
Modeling the stochastic Drift of a MEMS-Based Gyroscope in Gyro/Odometer/GPS Integrated Navigation
Modeling Video as stochastic Processes for Fine-Grained Video Representation Learning
Modeling, Relocation, and Real-Time Inventory Control of One-Way Electric Cars Sharing Systems in a stochastic Petri Nets Framework
Modelling stochastic Context of Audio-Visual Expressive Behaviour With Affective Processes
Modified Generative Adversarial Nets Integrated With stochastic Approach for Realizing Super-Resolution Reservoir Simulation, A
Modified stochastic Neighbor Embedding For Combining Multiple Features For Remote Sensing Image Classification, A
modified stochastic neighbor embedding for multi-feature dimension reduction of remote sensing images, A
Modout: Learning Multi-Modal Architectures by stochastic Regularization
Modular Colored stochastic Petri Net for Modeling and Analysis of Signalized Intersections, A
Monte Carlo Approach to Simulate the stochastic Demand in a Continuous Dynamic Traffic Network Loading Problem, A
MosaicShape: stochastic Region Grouping with Shape Prior
Motion Boundary Detection in Image Sequences by Local stochastic Tests
Multi-agent stochastic level set method in image segmentation
multi-exposure fusion framework for contrast enhancement of hazy images employing dynamic stochastic resonance, A
Multi-Scale Convolution Aggregation and stochastic Feature Reuse for DenseNets
Multi-target tracking using long-term stochastic associations
Multigrid Bayesian Estimation of Image Motion Fields Using stochastic Relaxation
Multilook Polarimetric SAR Change Detection Using stochastic Distances Between Matrix-Variate Gd0 Distributions
Multimodal image registration using stochastic differential equation optimization
Multiobjective Optimization Models for Locating Vehicle Inspection Stations Subject to stochastic Demand, Varying Velocity and Regional Constraints
Multiple stochastic Models for Recognition of Occluded Targets in SAR Images
Multiplicative Updates for Learning with stochastic Matrices
Multiresolution Approach for Shape from Shading Coupling Deterministic and stochastic Optimization, A
Multiresolution registration of remote sensing imagery by optimization of mutual information using a stochastic gradient
Multiresolution stochastic Hybrid Shape Models with Fractal Priors
Multiresolution stochastic imaging of satellite oceanographic altimetric data
Multiresolution stochastic Level Set Method for Mumford-Shah Image Segmentation, A
Multiscale Sampling Geometries and Methods for Deterministic and stochastic Reconstructions of Magnitude and Phase Spectra of Satellite Imagery
multiscale stochastic image model for automated inspection, A
Multispectral Image Context Classification Using stochastic Relaxation
Neural and stochastic Methods in Image and Signal Processing
Neural and stochastic Methods in Image and Signal Processing II
Neural and stochastic Methods in Image and Signal Processing III
neural network-based stochastic active contour model (NNS-SNAKE) for contour finding of distinct features, A
Neurobiologically Motivated stochastic Method for Analysis of Human Activities in Video, A
new approach to texture coding using stochastic vector quantization, A
new bayesian Poisson denoising algorithm based on nonlocal means and stochastic distances, A
New Computationally Efficient stochastic Approach for Building Reconstruction from Satellite Data, A
New Dynamic stochastic Source Encoding Combined With a Minmax-Concave Total Variation Regularization Strategy for Full Waveform Inversion
New Geometric stochastic Technology for Finding and Recognizing Roads and Their Features in Aerial Images
New Geometric Transform Based on stochastic Geometry in the Context of Pattern Recognition
new stochastic model-based image segmentation technique for MR image, A
New stochastic Optimization Algorithm to Decompose Large Nonnegative Tensors, A
new stochastic projection-based image recovery method, A
new stochastic simulation algorithm for image-based classification: Feature-space indicator simulation, A
New Ways to Form Features for Pattern Recognition on the Basis of stochastic Geometry
Noise-aided dynamic range compression using selective processing in a statistics-dependent stochastic resonance model
Noise-induced contrast enhancement using stochastic resonance on singular values
Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar Images with stochastic Distances
Non-Probability Sampling Network for stochastic Human Trajectory Prediction
Non-Stationarity Characterization and Geometry-Cluster-Based stochastic Model for High-Speed Train Radio Channels
Nonlocal Poisson Denoising Algorithm Based on stochastic Distances, A
Nonparametric Level-Set Segmentation Based on the Minimization of the stochastic Complexity
Nonparametric Statistical Snake Based on the Minimum stochastic Complexity
Nonuniform Sampling Control for Multibody High-Speed Train Systems With Quantization Mechanisms via stochastic Faded Channels
Notice of Retraction: E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural stochastic Differential Equations
Novel and efficient local coordinated freeway ramp metering strategy with simultaneous perturbation stochastic approximation-based parameter learning
Novel Convergence Results of Adaptive stochastic Gradient Descents
Novel stochastic Attributed Relational Graph Matching Based on Relation Vector Space Analysis, A
Novel stochastic Blockchain-Based Energy Management in Smart Cities Using V2S and V2G, A
Novel Strategy for Solving the stochastic Point Location Problem Using a Hierarchical Searching Scheme, A
Object Extraction Using a stochastic Birth-and-Death Dynamics in Continuum
object recognition system using stochastic knowledge source and VLSI parallel architecture, An
Object Segmentation in Stereo Image Using Cooperative Line Field in stochastic Diffusion
Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch
Objectness-based smoothing stochastic sampling and coherence approximate nearest neighbor for visual tracking
Occam Filters for stochastic Sources with Application to Digital Images
Occlusion detection and stereo matching in a stochastic method
Off-Line Handwritten Word Recognition Using a Hidden Markov Model Type stochastic Network
Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model
On Kleinberg's stochastic Discrimination Procedure
On modeling the distribution of chest X-ray images and their stochastic properties
On Outage Probability for stochastic Energy Harvesting Communications in Fading Channels
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of stochastic Environments
On stochastic Analysis of Greedy Routing in Vehicular Networks
On stochastic gradient descent and quadratic mutual information for image registration
On stochastic methods for surface reconstruction
On the Algorithmic Implementation of stochastic Discrimination
On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling
On the Convergence of stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces
On the Use of stochastic Driver Behavior Model in Lane Departure Warning
On using the chi-squared metric for determining stochastic dependence
Online Class Incremental Learning on stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning
Online Fault Diagnosis of Motor Bearing via stochastic-Resonance-Based Adaptive Filter in an Embedded System
Online Learning of stochastic Bi-automaton to Model Dialogues
Online stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences
Optimal Dynamic Supply of Parking Permits Under Uncertainties: A stochastic Control Approach
Optimal Gabor filter design for texture segmentation using stochastic optimization
Optimal Probabilistic Evaluation Functions for Search Controlled by stochastic Context-Free Grammars
Optimal road grade design based on stochastic speed trajectories for minimising transportation energy consumption
Optimal stochastic Eco-Routing Solutions for Electric Vehicles
Optimal Thresholding Using Multi-State stochastic Connectionist Approach
Optimization By stochastic Continuation
Optimized Speed Trajectories for Cyclists, Based on Personal Preferences and Traffic Light Information: A stochastic Dynamic Programming Approach
Optimum Management of Urban Traffic Flow Based on a stochastic Dynamic Model
Overlapping Tree Approach to Multiscale stochastic Modeling and Estimation, An
PAC learning with generalized samples and an applicaiton to stochastic geometry
Page Segmentation of Structured Documents Using 2D stochastic Context-Free Grammars
Parallel Algorithm for stochastic Image Segmentation, A
Parameter Tuning using the Out-of-Bootstrap Generalisation Error Estimate for stochastic Discrimination and Random Forests
Parameterisation of a stochastic Model for Human Face Identification
Parametric annealing: A stochastic search method for human pose tracking
Particle filtering for registration of 2D and 3D point sets with stochastic dynamics
Passivity based control of stochastic mechanical system
Passivity-based consensus and passification for a class of stochastic multi-agent systems with switching topology
Patch-based stochastic attention for image editing
Pathological liver segmentation using stochastic resonance and cellular automata
Pattern Recognition methods for advanced stochastic protein sequence analysis using HMMs
PCA-enhanced stochastic Optimization Methods
Pedestrian Recognition in Far-Infrared Images by Combining Boosting-Based Detection and Skeleton-Based stochastic Tracking
Perceptual Grouping and Segmentation by stochastic Clustering
Perfect simulation in stochastic geometry
Performance comparison of a deterministic and a stochastic method for image classification
Performance Comparison of Deterministic and stochastic Modifications in Stokes's and Hotine's Formulas: The Case of Jilin Province, China
Performance Improvement of Physically Based Spectral Rendering Using stochastic Sampling
Physics-Driven Turbulence Image Restoration with stochastic Refinement
PID Controller Approach for stochastic Optimization of Deep Networks, A
PID controller design for output PDFs of stochastic systems using linear matrix inequalities
Planning and Navigation in stochastic Environments
Plug-And-Play Image Reconstruction Meets stochastic Variance-Reduced Gradient Methods
Point Set Registration via Particle Filtering and stochastic Dynamics
Poisson Point Processes for Solving stochastic Inverse Problems in Fluorescence Microscopy
Polarimetric and Interferometric SAR Image Partition Into Statistically Homogeneous Regions Based on the Minimization of the stochastic Complexity
Polarimetric SAR Image Smoothing with stochastic Distances
Population-Based Incremental Interactive Concept Learning for Image Retrieval by stochastic String Segmentations
Positioning Techniques in Indoor Environments Based on stochastic Modeling of UWB Round-Trip-Time Measurements
Precise Orbit Determination for BeiDou GEO/IGSO Satellites during Orbit Maneuvering with Pseudo-stochastic Pulses
Predicting Earthquake-Induced Landslides by Using a stochastic Modeling Approach: A Case Study of the 2001 El Salvador Coseismic Landslides
Predicting Human Activities Using stochastic Grammar
Predicting State Uncertainty Bounds Using Non-Linear stochastic Reachability Analysis for Urban GNSS-Based UAS Navigation
Prediction Error Image Coding Using a Modified stochastic Vector Quantization Scheme
Probabilistic Aircraft Midair Conflict Resolution Using stochastic Optimal Control
Probabilistic Wavelet System for stochastic and Incomplete Data-Based Modeling, A
Probability density function of object contours using regional regularized stochastic watershed
PSO-based stochastic resonance for automatic contrast enhancement of images
Q-Learning Approach to Flocking With UAVs in a stochastic Environment, A
q-SNE: Visualizing Data using q-Gaussian Distributed stochastic Neighbor Embedding
Qualitative and Quantitative Safety Evaluation of Train Control Systems (CTCS) With stochastic Colored Petri Nets
Quality Enhancement of Arterial Measurements Based on a More Accurate stochastic Model of X-Ray Cine-Angiography
Quantifying model uncertainty for semantic segmentation of Fluorine-19 MRI using stochastic gradient MCMC
Radar Coincidence Imaging: An Instantaneous Imaging Technique with stochastic Signals
Radiative Transfer Model for Patchy Landscapes Based on stochastic Radiative Transfer Theory, A
Rank-Two Beamforming and stochastic Beamforming for MISO Physical-Layer Multicasting with Finite-Alphabet Inputs
Real time vision-based hand gesture recognition using depth sensor and a stochastic context free grammar
Real-Time Estimation of Travel Times Along the Arcs and Arrival Times at the Nodes of Dynamic stochastic Networks
Real-Time Transit Signal Priority Control Model Considering stochastic Bus Arrival Time, A
Real-World Image Super-Resolution Via Kernel Augmentation And stochastic Variation
Recognition of image patterns generated by a stochastic object-replacement model
Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a stochastic Regular Grammar
Recognition of Occluded Targets Using stochastic Models
Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models
Recognition of online handwritten mathematical formulas using probabilistic SVMs and stochastic context free grammars
Recognition of Printed Mathematical Expressions Using Two-Dimensional stochastic Context-Free Grammars
Recognition of Visual Activities and Interactions by stochastic Parsing
Recognizing plants using stochastic L-systems
Reconstruction for stochastic 3-D signals with symmetric statistics in noise: Electron microscopy of virus particles
Reconstruction of stochastic 3D Signals With Symmetric Statistics From 2D Projection Images Motivated by Cryo-Electron Microscopy
Reconstruction of Surface and stochastic Dynamics from a Planar Projection of Trajectories
Recursive Contextual Classification Using a Spatial stochastic Model
Recursive Separation of Stationary Components by Subspace Projection and stochastic Constraints
Refined SNR Based stochastic Model to Reduce Site-Dependent Effects, A
Region-adaptive transform based on a stochastic model
Region-Based Classification of PolSAR Data Through Kernel Methods and stochastic Distances
Regions Growing with the stochastic Pyramid: Application in Landscape Ecology
Registration of Stereo Based 3D Maps for Object Modeling: A stochastic Yet Intelligent Solution
Relational Matching with stochastic Optimisation
Relaxation Method for Image Segmentation Using a Spatially Dependent stochastic Model, A
Reliable Path Planning for Drone Delivery Using a stochastic Time-Dependent Public Transportation Network
Remote Nonlinear State Estimation With stochastic Event-Triggered Sensor Schedule
Remote Sensing Based Yield Estimation in a stochastic Framework: Case Study of Durum Wheat in Tunisia
Research on the Visualization and Simulation of Branch Breaking Based on Physical and stochastic Approaches
Restoration of Binary Images Using stochastic Relaxation with Annealing
Restoration of Colour Images Using Backward stochastic Differential Equations with Reflection
Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss-Markov random fields
Retrieving the Infected Area of Pine Wilt Disease-Disturbed Pine Forests from Medium-Resolution Satellite Images Using the stochastic Radiative Transfer Theory
reversibility of cancelable biometric templates based on iterative perturbation stochastic approximation strategy, The
Risk-Averse Equilibria for Vehicle Navigation in stochastic Congestion Games
Road-Curvature-Range-Dependent Path Following Controller Design for Autonomous Ground Vehicles Subject to stochastic Delays
Robust Bi-stochastic Graph Regularized Matrix Factorization for Data Clustering
Robust Camera Pose Recovery Using stochastic Geometry
Robust cooperative train trajectory optimization with stochastic delays under virtual coupling
Robust edge detection in noisy images using an adaptive stochastic gradient technique
Robust Estimation of Depth and Motion Using stochastic Approximation
Robust Fault-Tolerant Estimation of Sideslip and Roll Angles for Distributed Drive Electric Buses With stochastic Passenger Mass
Robust Gain-Scheduling Path Following Control of Autonomous Vehicles Considering stochastic Network-Induced Delay
Robust IRIS Presentation Attack Detection Through stochastic Filter Noise
robust iterative multiframe SRR based on Hampel stochastic estimation with Hampel-Tikhonov regularization, A
Robust stability with general decay rate for stochastic neural networks with unbounded time-varying delays
Robust stochastic Control for High-Speed Trains With Nonlinearity, Parametric Uncertainty, and Multiple Time-Varying Delays
Robust tracking of stochastic deformable models in long image sequences
Robust Video-Based Recognition of Dynamic Head Gestures in Various Domains: Comparing a Rule-Based and a stochastic Approach
Robust Watermark Extraction Using SVD-Based Dynamic stochastic Resonance
S2Net: stochastic Sequential Pointcloud Forecasting
S3C: Self-Supervised stochastic Classifiers for Few-Shot Class-Incremental Learning
S3IM: stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
S3Pool: Pooling with stochastic Spatial Sampling
SAGA: stochastic Whole-Body Grasping with Contact
SAR Image Segmentation by stochastic Complexity Minimization With a Nonparametric Noise Model
SAR Speckle Nonlocal Filtering With Statistical Modeling of Haar Wavelet Coefficients and stochastic Distances
Scalable 3D surface reconstruction by local stochastic fusion of disparity maps
Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating stochastic Change Process
Scheduled Restart Momentum for Accelerated stochastic Gradient Descent
SDE-RAE:CLIP-based realistic image reconstruction and editing network using stochastic differential diffusion
SEC: stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation
Segmentation and Compression of SAR Imagery via Hierarchical stochastic Modeling
Segmentation in Ultrasonic B-Mode Images of Healthy Carotid Arteries Using Mixtures of Nakagami Distributions and stochastic Optimization
Segmentation of range data based on a stochastic clustering method with competitive process
Segmentation of stochastic Images using Level Set Propagation with Uncertain Speed
Segmentation of stochastic Images With a Stochastic Random Walker Method
Segmentation of stochastic Images With a Stochastic Random Walker Method
Segmentation of X-ray CT images using stochastic templates
Self-Organization in Vision: stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization
Self-supervised Deep Image Restoration via Adaptive stochastic Gradient Langevin Dynamics
Semantic Description of Aerial Images Using stochastic Labeling
Semantics-Based Video Indexing using a stochastic Modeling Approach
Semi-Automatic Cracks Correction Based on Seam Processing, stochastic Analysis and Learning Process
Semi-Supervised Domain Generalization with stochastic StyleMatch
Semi-Supervised Seq2seq Joint-stochastic-Approximation Autoencoders With Applications to Semantic Parsing
Sensitive Analysis of Observation Model for Human Tracking Using a stochastic Process
Sequential Algorithms for Detecting Changes in Acting stochastic Processes and On-line Learning of Their Operational Parameters
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on stochastic Embedding Robustness
Shadow Enhancement Using 2D Dynamic stochastic Resonance for Hyperspectral Image Classification
Shape Recovery Using stochastic Heat Flow
Shortest Path Finding Problem in stochastic Time-Dependent Road Networks With Stochastic First-In-First-Out Property
Shortest Path Finding Problem in stochastic Time-Dependent Road Networks With Stochastic First-In-First-Out Property
Should We Encode Rain Streaks in Video as Deterministic or stochastic?
Simple stochastic Algorithm for Structural Features Learning, A
Simulation of Worn-Out Cloth Textures by Doubly stochastic L-Systems
Simultaneous object extraction and disparity estimation using stochastic diffusion
Single-Image Superresolution of Natural stochastic Textures Based on Fractional Brownian Motion
Situational Assessment for Intelligent Vehicles Based on stochastic Model and Gaussian Distributions in Typical Traffic Scenarios
Six-Stimulus Theory for stochastic Texture, A
SLAMP: stochastic Latent Appearance and Motion Prediction
SMIT: stochastic Multi-Label Image-to-Image Translation
Smoothing and compression with stochastic k-testable tree languages
Smoothing, Enhancing Filters in Terms of Backward stochastic Differential Equations
Soccer line mark segmentation and classification with stochastic watershed transform
Solving Schrodinger equation via Tartaglia/Pascal triangle: A possible link between stochastic processing and quantum mechanics
Some Properties of stochastic Labeling Procedures
Some relations among stochastic finite state networks used in automatic speech recognition
SPA: stochastic Probability Adjustment for System Balance of Unsupervised SNNs
Sparse Hilbert Embedding-Based Statistical Inference of stochastic Ecological Systems
Sparse Learning with stochastic Composite Optimization
Sparse stochastic Processes and Discretization of Linear Inverse Problems
Spatial stochastic Vehicle Traffic Modeling for VANETs
Spatial Variations of stochastic Noise Properties in GPS Time Series
Spatially Adaptive Inference with stochastic Feature Sampling and Interpolation
Spatio-Temporal Characterization of stochastic Dynamic Transportation Networks
Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal means
Speckle Reduction Using stochastic Distances
Spectral-Spatial Classification of Hyperspectral Data Based on a stochastic Minimum Spanning Forest Approach
Spectral-Spatial-Aware Unsupervised Change Detection With stochastic Distances and Support Vector Machines
Specular Reflectance Suppression in Endoscopic Imagery via stochastic Bayesian Estimation
Spherical stochastic Neighbor Embedding of Hyperspectral Data
Spherical Symmetry of Complex stochastic Models in Multivariate High-Resolution PolSAR Images
SPI-Optimizer: An Integral-Separated PI Controller for stochastic Optimization
Stability and Frequency Response Under stochastic Communication Delays With Applications to Connected Cruise Control Design
State Space Reduction for Nonstationary stochastic Shortest Path Problems With Real-Time Traffic Information
Statistical inference for a stochastic multiresolution image decomposition scheme
Statistics of Natural stochastic Textures and Their Application in Image Denoising
Stereo Vision for Planetary Rovers: stochastic Modeling to Near Real-Time Implementation
STN: stochastic Triplet Neighboring Approach to Self-supervised Denoising from Limited Noisy Images
stochastic 3D rock reconstruction using GANs
stochastic active contour for cardiac MR image segmentation
stochastic Adaptive Tracking In A Camera Network
stochastic Airline Fleet Assignment With Risk Aversion
stochastic Algorithm Based on Fast Marching for Automatic Capacitance Extraction in Non-Manhattan Geometries, A
stochastic Algorithm for 3D Scene Segmentation and Reconstruction, A
stochastic Analysis of a Single-Hop Communication Link in Vehicular Ad Hoc Networks
stochastic Analysis of DASH-Based Video Service in High-Speed Railway Networks
stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise
stochastic analysis of scale-space smoothing
stochastic Analysis of Stereo Quantization Error
stochastic analysis of the calibration problem for Augmented Reality systems with see-through head-mounted displays, A
stochastic analysis of the least mean fourth algorithm for non-stationary white Gaussian inputs
stochastic and Deterministic Networks for Texture Segmentation
stochastic approach for automated brain MRI segmentation, A
stochastic approach for modelling airborne lidar waveforms, A
stochastic Approach for Short-Term Freeway Traffic Prediction During Peak Periods
stochastic Approach to Diffeomorphic Point Set Registration with Landmark Constraints, A
stochastic Approach to Edge Detection, A
stochastic Approach to Estimate the Uncertainty Involved in B-Spline Image Registration, A
stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization, A
stochastic Approach to Median String Computation, A
stochastic Approach to Separate Diffuse and Specular Reflections
stochastic Approach to Stereo Vision, A
stochastic Approach to Wilson's Editing Algorithm, A
stochastic Approaches of Minimum Distance Method for Region Based Classification
stochastic Approximation and Rate-Distortion Analysis for Robust Structure and Motion Estimation
stochastic approximation for background modelling
stochastic Attraction-Repulsion Embedding for Large Scale Image Localization
stochastic Attribute Grammar for Robust Cross-View Human Tracking, A
stochastic attributed K-D tree modeling of technical paper title pages
stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
stochastic batch size for adaptive regularization in deep network optimization
stochastic behavior of inter-drop time in an M frame buffer video decoding scenario
stochastic Bias Correction and Uncertainty Estimation of Satellite-Retrieved Soil Moisture Products
stochastic bilateral filter for high-dimensional images
stochastic Binary Network for Universal Domain Adaptation
stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation
stochastic Blind Motion Deblurring
stochastic boosting for large-scale image classification
stochastic bottom-up fixation prediction and saccade generation
stochastic Boundary Estimation and Object Recognition
stochastic Bundle Adjustment for Efficient and Scalable 3d Reconstruction
stochastic calculus analysis of optical time-of-flight range imaging and estimation of radial motion
stochastic Capacity Adjustment Considering Secondary Incidents
stochastic car tracking with line- and color-based features
stochastic channel-adaptive rate control for wireless video transmission
stochastic Characterization of Information Propagation Process in Vehicular Ad hoc Networks
stochastic Class-Based Hard Example Mining for Deep Metric Learning
stochastic Classifiers for Unsupervised Domain Adaptation
stochastic collective model of public transport passenger arrival process
stochastic Color Interpolation for Digital Cameras
stochastic Coloured Petrinet Based Healthcare Infrastructure Interdependency Model
stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience
stochastic Complexity (with discussion)
stochastic complexity-based model selection with false alarm rate control in optical spectroscopy
stochastic Computation of Medial Axis in Markov Random Fields
stochastic Conditioning Scheme for Diverse Human Motion Prediction, A
stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers
stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers
stochastic Continuation Approach to Piecewise Constant Reconstruction, A
stochastic convergence analysis of recursive successive over-relaxation algorithm in adaptive filtering
stochastic convergence of stack filters and Boolean networks
stochastic Cost Function for Stereo Vision, A
stochastic Cramer-Rao Bound Analysis for DOA Estimation in Spherical Harmonics Domain
stochastic CRB for Non-unitary Beam-space Transformations and its Application to Optimal Steering Angle Design, A
stochastic Data-Based Traffic Model Applied to Vehicles Energy Consumption Estimation, A
stochastic Deconvolution
stochastic Decorrelation Constraint Regularized Auto-Encoder for Visual Recognition
stochastic Deformable Model
stochastic Delay Analysis for Train Control Services in Next-Generation High-Speed Railway Communications System
stochastic Demand Dynamic Traffic Models Using Generalized Beta-Gaussian Bayesian Networks
stochastic differential equations and geometric flows
stochastic Diffusion for Correspondence Estimation and Objects Segmentation
stochastic discretized learning-based weak estimation: A novel estimation method for non-stationary environments
stochastic Distance Transform
stochastic Distance Transform: Theory, Algorithms and Applications
stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
stochastic Driver Pedal Behavior Model Incorporating Road Information, A
stochastic Dykstra Algorithms for Metric Learning with Positive Definite Covariance Descriptors
stochastic Dynamical System for Image Segmentation, A
stochastic dynamical system for optical flow estimation, A
stochastic Dynamics for Video Infilling
stochastic effects of traffic randomness on the determination of signal change and clearance intervals at signalised intersections
stochastic Emergency Response Location Model Considering Secondary Incidents on Freeways, A
stochastic Emergency Vehicle Redeployment Model for an Effective Response to Traffic Incidents, A
stochastic Error-correcting Parsing for OCR Post-processing
stochastic Error-Correcting Syntax Analysis for Recognition of Noisy Patterns
stochastic Evaluation of the Contour Strength, A
stochastic exploration and active learning for image retrieval
stochastic Exploration of Ambiguities for Nonrigid Shape Recovery
stochastic Exposure Coding for Handling Multi-ToF-Camera Interference
stochastic Extraction of Elongated Curvilinear Structures in Mammographic Images
stochastic Extraction of Elongated Curvilinear Structures With Applications
stochastic Filter for Fluid Motion Tracking, A
stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
stochastic filtering for motion trajectory in image sequences using a monte carlo filter with estimation of hyper-parameters
stochastic Filtering of Level Sets for Curve Tracking
stochastic Filtering Technique for Fluid Flow Velocity Fields Tracking, A
stochastic Filters for Mobile Robot SLAM Problems: A Review
stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition
stochastic first-order learning for large-scale flexibly tied Gaussian mixture models
stochastic Fixed Point Optimization Algorithm for Classifier Ensemble
stochastic formulations of optical flow algorithms under variable brightness conditions
stochastic Frame Buffers for Rate-Distortion Optimized Loss Resilient Video Communications
stochastic Framework for Object Localisation, A
stochastic Framework for Optimal Key Frame Extraction from MPEG Video Databases, A
stochastic Framework for Rate-Distortion Optimized Video Coding Over Error-Prone Networks, A
stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals: Part I, A
stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals: Part II, A
stochastic Framework for Symmetric Affine Matching between Point Sets
stochastic Framework for the Identification of Building Rooftops Using a Single Remote Sensing Image, A
stochastic Frequency Masking to Improve Super-resolution and Denoising Networks
stochastic fusion of multi-view gradient fields
stochastic Fuzzy Modeling for Ear Imaging Based Child Identification
stochastic gate-based autoencoder for unsupervised hyperspectral band selection
stochastic geometrical model and Monte Carlo optimization methods for building reconstruction from InSAR data
stochastic Geometry Approach to the Modeling of DSRC for Vehicular Safety Communication, A
stochastic Geometry for Image Analysis
stochastic geometry for multiple object tracking in fluorescence microscopy
stochastic Geometry Method for Pylon Reconstruction from Airborne LiDAR Data, A
stochastic Geometry Methods for Modeling Automotive Radar Interference
stochastic global optimization for robust point set registration
stochastic gradient based third-order Volterra system identification by using nonlinear Wiener adaptive algorithm
stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces
stochastic gradient descent for robust inverse photomask synthesis in optical lithography
stochastic Gradient Descent With Hyperbolic-Tangent Decay on Classification
stochastic gradient kernel density mode-seeking
stochastic Gradient Perturbation: An Implicit Regularizer for Person Re-Identification
stochastic Gradient Population Monte Carlo
stochastic Grammar of Images, A
stochastic Grammar of Images, A
stochastic Graph Evolution Framework for Robust Multi-target Tracking, A
stochastic graph grammar for compositional object representation and recognition, A
stochastic Guided Search Model for Search Asymmetries in Visual Search Tasks
stochastic halftone screening method
stochastic human segmentation from a static camera
stochastic Image Denoising
stochastic Image Denoising by Sampling from the Posterior Distribution
stochastic Image Models from SIFT-Like Descriptors
stochastic Image Models Generated by Random Tessellations of the Plane
stochastic Image Pyramids
stochastic Image Reconstruction from Local Histograms of Gradient Orientation
stochastic image segmentation by combining region and edge cues
stochastic Image Segmentation by Typical Cuts
stochastic Image Segmentation Using Spatial-Temporal Context
stochastic Image-to-Video Synthesis using cINNs
stochastic Jump-Diffusion Process for Computing Medial Axes in Markov Random Fields
stochastic K-means algorithm for vector quantization
stochastic kinematic modeling and feature extraction for gait analysis
stochastic Label Refinery: Toward Better Target Label Distribution
stochastic Lane Shape Estimation Using Local Image Descriptors
stochastic language models for style-directed layout analysis of document images
stochastic Languages for Picture Analysis
stochastic Late Fusion Approach to Human Action Recognition in Unconstrained Images and Videos, A
stochastic Latent Talking Face Generation Toward Emotional Expressions and Head Poses
stochastic learning algorithm for pixel-level background models, A
stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments
stochastic Level Set Dynamics to Track Closed Curves Through Image Data
stochastic Linear Quadratic Optimal Control of Speed and Position of Multiple Trains on a Single-Track Line
stochastic Local Search for Omnidirectional Catadioptric Stereovision Design
stochastic margin-based structure learning of Bayesian network classifiers
stochastic mesh-based multiview reconstruction
stochastic Meta-Descent for Tracking Articulated Structures
stochastic method for Bayesian estimation of hidden Markov random field models with application to a color model, A
stochastic Method for Face Image Super-Resolution, A
stochastic Method for Texture Synthesis
stochastic Methods for Joint Registration, Restoration, and Interpolation of Multiple Undersampled Images
stochastic Minimum Spanning Forest approach for spectral-spatial classification of hyperspectral images, A
stochastic Mixing Model Approach to Sub-Pixel Target Detection in Hyper-Spectral Images, A
stochastic Model and Probabilistic Decision-Based Classifier for Mass Detection in Digital Mammography
stochastic model based on Gaussian random fields to characterize the morphology of granular objects, A
stochastic Model Based Technique for Texture Segmentation, A
stochastic Model Combining Discrete Symbols and Continuous Attributes and Its Application to Handwriting Recognition, A
stochastic model for automated detection of calcifications in digital mammograms
stochastic Model for Boundary Detection
stochastic Model for Chain Collisions of Vehicles Equipped With Vehicular Communications, A
stochastic model for curvilinear structure reconstruction using morphological profiles
stochastic model for handwritten word recognition using context dependency between character patterns, A
stochastic model for quantum noise analysis in flat-panel detectors for medical imaging applications
stochastic Model for Studying the Laminar Structure of Cortex From MRI, A
stochastic model of mixels and image classification, A
stochastic model of selective visual attention with a dynamic Bayesian network, A
stochastic Model of Stroke Order Variation
stochastic Model Utilizing Spectral and Spatial Characteristics
stochastic model-based approach to image and texture interpolation, A
stochastic Model-Based Heuristics for Fast Field of View Loss Recovery in Urban Traffic Management Through Networks of Video Cameras
stochastic model-based processing for detection of small targets in non-gaussian natural imagery
stochastic Modeling and Analysis of Public Electric Vehicle Fleet Charging Station Operations
stochastic modeling and entropy constrained estimation of motion from image sequences
stochastic modeling and estimation of multispectral image data
stochastic Modeling and Integration of Plug-In Hybrid Electric Vehicles in Reconfigurable Microgrids With Deep Learning-Based Forecasting
stochastic Modeling and Simulation of Delay: Doppler Maps in GNSS-R Over the Ocean
stochastic Modeling of Traffic Flow Breakdown Phenomenon: Application to Predicting Travel Time Reliability
stochastic modeling of volume images with a 3-d hidden markov model
stochastic modeling western paintings for effective classification
stochastic modelling and analysis of sub-pixel edge detection
stochastic Modelling: From Pattern Classification to Speech Recognition and Translation
stochastic Models for Closed Boundary Analysis, Representation, and Construction
stochastic Models for Closed Boundary Analysis: Part I, Representation, and Construction
stochastic Models for Local Optical Flow Estimation
stochastic Models for Recognition of Articulated Objects
stochastic models for recognition of occluded targets
stochastic models for semantic parsing, multi-faceted topic discovery, and causal event inference: Perspectives from natural language processing
stochastic Models of Very High-Rate (50 Hz) GPS/BeiDou Code and Phase Observations
stochastic Models of Video Structure for Program Genre Detection
stochastic Morphological Filtering and Bellman-Maslov Chains
stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
stochastic Motion and the Level Set Method in Semi-Automatic Building Detection
stochastic Motion Clustering
stochastic Multi-Objective Vehicle Routing Model in Green Environment With Customer Satisfaction
stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval
stochastic nearest neighbor character prototype approach for online writer identification, A
stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
stochastic Newton-Raphson Method with Noisy Function Measurements, A
stochastic nonlinear image restoration using the wavelet transform
stochastic Normalizations as Bayesian Learning
stochastic Optimal Sizing of Plug-in Electric Vehicle Parking Lots in Reconfigurable Power Distribution Systems
stochastic optimisation for high-dimensional tracking in dense range maps
stochastic Optimization Algorithms: An Application to Pattern Matching
stochastic optimization approach for parameter tuning of support vector machines, A
stochastic Optimization for Rigid Point Set Registration
stochastic Optimization Model and Solution Algorithm for Robust Double-Track Train-Timetabling Problem
stochastic Optimization of Multiple Texture Registration Using Mutual Information
stochastic Order of Shape Variability with an Application to Cell Nuclei Involved in Mastitis, A
stochastic Park-and-Charge Balancing for Fully Electric and Plug-in Hybrid Vehicles
stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition
stochastic Path Optimization to Improve Navigation Safety in Urban Environment
stochastic Performance Modeling and Evaluation of Obstacle Detectability with Imaging Range Sensors
stochastic Polygons Model for Glandular Structures in Colon Histology Images, A
stochastic Processes Approach in GPR Applications
stochastic Processes in Vision: From Langevin to Beltrami
stochastic Programmed Grammars for Syntactic Pattern Recognition
stochastic Programming Approach for Electric Vehicle Charging Network Design, A
stochastic Properties of the Cross Ratio
stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization, A
stochastic Puzzle Grammars
stochastic pyramid revisited
stochastic pyramids for multiscale signal synthesis and analysis
stochastic QIM Algorithm for Robust, Undetectable Image Watermarking, A
stochastic Quality Metric for Optimal Control of Active Camera Network Configurations for 3D Computer Vision Tasks, A
stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks
stochastic rate-control of interframe video coders for VBR channels
stochastic Rate-control of Video Coders for Wireless Channels
stochastic reasoning for structural pattern recognition: An example from image-based UAV navigation
stochastic Reasoning for UAV Supported Reconstruction of 3D Building Models
stochastic refinement of the visual hull to satisfy photometric and silhouette consistency constraints
stochastic Relational Network
stochastic Relaxation on Partitions with Connected Components and Its Application to Image Segmentation
stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
stochastic Remote Sensing Event Classification over Adaptive Posture Estimation via Multifused Data and Deep Belief Network
stochastic Representation and Recognition of High-Level Group Activities
stochastic representation and recognition of high-level group activities: Describing structural uncertainties in human activities
stochastic Representation of Cursive Chinese Characters for Online Recognition, A
stochastic resonance aided robust techniques for segmentation of medical ultrasound images
stochastic Rigidity: Image Registration for Nowhere-Static Scenes
stochastic Road Shape Estimation
stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent
stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent
stochastic Scale Space for Multiscale Image Representation, A
stochastic Scene-Aware Motion Prediction
stochastic scheduling of ground movement problem integrated with taxiway routing and gate/stand allocation
stochastic Search Algorithm to Optimize an N-tuple Classifier by Selecting Its Inputs, A
stochastic Segment Model Adaptation for Offline Handwriting Recognition
stochastic Segment Modeling for Offline Handwriting Recognition
stochastic Segmentation of Blood Vessels from Time-Of-Flight
stochastic Segmentation of Ultrasound Images
stochastic Segmentation with Conditional Categorical Diffusion Models
stochastic shadow detection using a hypergraph partitioning approach
stochastic simulation-based optimization method for arterial traffic signal coordination with equity and efficiency consideration
stochastic Skeleton Modeling of Objects
stochastic Sparse Subspace Clustering
stochastic Spatio-Temporal Models for Analysing NDVI Distribution of GIMMS NDVI3g Images
stochastic spectral-spatial permutation ordering combination for nonlocal morphological processing
stochastic stable buffer control for quality-adaptive HEVC video transmission in enterprise WLAN architectures
stochastic Stereo Matching over Scale
stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control With Lossy Communication
stochastic Structure of Images, The
stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network
stochastic super-resolution image reconstruction
stochastic Surface Modelling System, A
stochastic Syntactic Analysis for Programmed Grammars and Syntactic Pattern Recognition
stochastic Syntactic Decoding for Pattern Classification
stochastic Syntax-Directed Translation Schemata for Correction of Errors in Context-Free Languages
stochastic syntax-directed translations in syntactic pattern processing
stochastic System for Large Network Growth, A
stochastic Table Arrays
stochastic Task Scheduling in UAV-Based Intelligent On-Demand Meal Delivery System
stochastic Temporal Models of Human Activities
stochastic Text Models for Music Categorization
stochastic texture analysis for monitoring stochastic processes in industry
stochastic texture analysis for monitoring stochastic processes in industry
stochastic Texture Fields Synthesis from a Priori Given Second Order Statistice
stochastic Topology with Elastic Matching for Off-Line Handwritten Character-Recognition
stochastic Tracking of 3D Human Figures using 2D Image Motion
stochastic traffic modelling and decentralised signal control based on a state transition probability model
stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation
stochastic Tree Grammar Inference for Texture Synthesis and Discrimination
stochastic Uncertainty Models for the Luminance Consistency Assumption
stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization, A
stochastic Variational Inference with Gradient Linearization
stochastic Vector Quantization of Images
stochastic Velocity Prediction for Connected Vehicles Considering V2V Communication Interruption
stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model, A
stochastic View Registration of Overlapping Cameras Based on Arbitrary Motion
stochastic visibility in point-sampled scenes
stochastic watershed hierarchies
stochastic Whitening Batch Normalization
stochastic-based pattern-recognition analysis
stochastic-Resonance Based Iterative Detection for Serially-Concatenated Turbo Codes
stochasticFormer: Stochastic Modeling for Weakly Supervised Temporal Action Localization
String Methods for stochastic Image and Shape Matching
Studying Digital Imagery of Ancient Paintings by Mixtures of stochastic Models
Sufficient conditions of optimality for mean-field stochastic control problems
Sum-product networks for modeling activities with stochastic structure
Super-resolution texture synthesis using stochastic PAR/NL model
Surface sculpting with stochastic deformable 3d surfaces
survey of geometrical probability in the plane, with emphasis on stochastic image modeling, A
SVM with stochastic Parameter Selection for Bovine Leather Defect Classification
Switching-Based stochastic Model Predictive Control Approach for Modeling Driver Steering Skill
Symmetries from Uniform Space Covering in stochastic Discrimination
Syntactic Image Modeling Using stochastic Tree Grammars
Syntactic Pattern Recognition with stochastic Dissimilarity in Japanese On-Line Input System (JOLIS)-1/1.5
Syntactic Pattern Recognition: stochastic Languages
Temporal Segmentation and Selective Attention in the stochastic Oscillator Neural Network
Temporal stochastic linear encoding networks
Temporal stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition
Temporal-Difference Learning-Based stochastic Energy Management for Plug-in Hybrid Electric Buses
Texture Analysis for Estimating Spatial Variability and Anisotropy in Planar stochastic Structures
Texture Discrimination Based upon an Assumed stochastic Texture Model
Three Dimensional Ventricular E-Cell (3Dv E-Cell) with stochastic Intracellular Ca 2+ Handling, A
Time Reduction of stochastic Parsing with Stochastic Context-Free Grammars
Time Reduction of stochastic Parsing with Stochastic Context-Free Grammars
TM2T: stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
Toward high-performance online HCCR: A CNN approach with DropDistortion, path signature and spatial stochastic max-pooling
Toward stochastic Modeling of Obstacle Detectability in Passive Stereo Range Imagery
Tracking Closed Curves with Non-linear stochastic Filters
Tracking myocardial deformation using phase contrast MR velocity fields: A stochastic Approach
Tracking Performance of Online stochastic Learners
Training Hybrid Classical-Quantum Classifiers via stochastic Variational Optimization
Transport-theory-based stochastic image reconstruction of bioluminescent sources
Travel Time Reliability Versus Safety: A stochastic Hazard-Based Modeling Approach
Tree Structured, Wavelet-Based stochastic Process for Fast Image Processing, A
Truck route planning in nonstationary stochastic networks with time windows at customer locations
Two-Dimensional Fingertip Force Training With Improved Haptic Sensation via stochastic Resonance
Two-Stage stochastic Choice Modeling Approach for Electric Vehicle Charging Station Network Design in Urban Communities
Two-Stage stochastic Program for Dynamic Coordinated Traffic Control Under Demand Uncertainty
Two-Stage stochastic Programming Based on Particle Swarm Optimization for Aircraft Sequencing and Scheduling
Ultrasound Despeckling Using an Adaptive Window stochastic Approach
Ultrasound Image Despeckling Using stochastic Distance-Based BM3D
Unified Approach to PDE-Driven Morphology for Fields of Orthogonal and Generalized Doubly-stochastic Matrices, A
Unified stochastic Model for Detecting and Tracking Faces, A
unified structural-stochastic model for texture analysis and synthesis, A
Unsupervised Detection of White Matter Fiber Bundles with stochastic Neural Networks
Unsupervised learning of stochastic AND-OR templates for object modeling
Unsupervised Person Re-Identification With stochastic Training Strategy
Unsupervised Sampling Promoting for stochastic Human Trajectory Prediction
Unsupervised SAR Change Detection Method Based on stochastic Subspace Ensemble Learning, An
Unsupervised Texture Segmentation Using stochastic Version of the EM Algorithm and Data Fusion
Unsupervised texture segmentation/classification using 2-D autoregressive modeling and the stochastic expectation-maximization algorithm
Unsupervised Tracking With the Doubly stochastic Dirichlet Process Mixture Model
Use of stochastic grammars for hypnogram analysis
Using stochastic Petri Nets for Level-Crossing Collision Risk Assessment
Using stochastic Ray Tracing to Simulate a Dense Time Series of Gross Primary Productivity
Using stochastic syntactic analysis for extracting a logical structure from a document image
Utilization of Hierarchical, stochastic Relationship Modeling for Hangul Character Recognition
Utilizing Multitemporal Data by a stochastic Model
UWB Ranging and IMU Data Fusion: Overview and Nonlinear stochastic Filter for Inertial Navigation
Variability of Microwave Scattering in a stochastic Ensemble of Measured Rain Drops
Variable Block Size Segmentation for Image Compression Using stochastic Models
Variational Auto-Encoder Model for stochastic Point Processes, A
Variational Bayesian image processing on stochastic factor graphs
Variational posterior approximation using stochastic gradient ascent with adaptive stepsize
Vehicle Tracking in Wide Area Motion Imagery via stochastic Progressive Association Across Multiple Frames
Video denoising in three-dimensional complex wavelet domain using a doubly stochastic modelling
Video Event Modeling and Recognition in Generalized stochastic Petri Nets
Virtual resolution enhancement of scale invariant textured images using stochastic processes
Virtual Super Resolution of Scale Invariant Textured Images Using Multifractal stochastic Processes
Visual Discrimination of stochastic Texture Fields
Visual Discrimination of stochastic Texture Fields Based upon Their Second Order Statistics
Visual Dynamics: stochastic Future Generation via Layered Cross Convolutional Networks
Visual surface reconstruction and boundary detection using stochastic models
Volume Rendering by stochastic Neighbor Embedding-Based 2D Transfer Function Building
Wavelet-Based Approach for Analyzing Industrial stochastic Textures With Applications, A
Wavelet-Based Multiresolution stochastic Image Models
Wavelet-based multiscale stochastic models for efficient tomographic discrimination of fractal fields
Weakly-supervised Action Transition Learning for stochastic Human Motion Prediction
Weakly-Supervised Free Space Estimation through stochastic Co-Teaching
wireless video transmission control approach through stochastic Dynamic Programming, A
Wrong turn - No dead end: A stochastic pedestrian motion model
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using stochastic Rounding
1089 for stochastic

_stochastically_
Brownian Strings: Segmenting Images with stochastically Deformable Contours
Efficiency of discriminant analysis when initial samples are classified stochastically
Image Restoration via Deep-Structured stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions
Method and apparatus for segmenting images using stochastically deformable contours
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a stochastically Fully-Connected Joint Conditional Random Field Model
SAPPHIRE: stochastically acquired photoplethysmogram for heart rate inference in realistic environments
SCW-SGD: stochastically Confidence-Weighted SGD
stochastically Optimal Epipole Estimation in Omnidirectional Images with Geometric Algebra
8 for stochastically

_stochasticformer_
stochasticformer: Stochastic Modeling for Weakly Supervised Temporal Action Localization

_stochasticity_
Investigation Into the stochasticity of Batch Whitening, An
Review of the Gumbel-max Trick and its Extensions for Discrete stochasticity in Machine Learning, A
Speed Advice for Connected Vehicles at an Isolated Signalized Intersection in a Mixed Traffic Flow Considering stochasticity of Human Driven Vehicles

_stochasticnet_
Efficient Deep Feature Learning and Extraction via stochasticnets

Index for "s"


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