Bougacha, A.[Aymen]
* 2009: Enhanced Text Extraction from Arabic Degraded Document Images Using EM Algorithm
Bougamouza, F.[Fateh]
* 2018: Normalisation of handwriting speed for online Arabic characters recognition
Bouganis, A.[Alexandros]
* 2008: Flexible object recognition in cluttered scenes using relative point distribution models
* 2008: Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace
Bouganis, C.[Christos]
* 2013: Face hallucination revisited: A joint framework
* 2019: Context-based image acquisition from memory in digital systems
Bouganis, C.S.
* 2003: Class-based Multiple Light Detection: An Application to Faces
* 2004: Multiple Light Source Detection
* 2006: Spatiotemporal Saliency Framework, A
* 2007: Real-time hardware acceleration of the trace transform
* 2007: Statistical multiple light source detection
* 2008: Video enhancement on an adaptive image sensor
* 2009: sensor-based approach to linear blur identification for real-time video enhancement, A
* 2011: Feature selection with geometric constraints for vision-based Unmanned Aerial Vehicle navigation
* 2014: Vision-Based Egomotion Estimation on FPGA for Unmanned Aerial Vehicle Navigation
* 2015: Robust multi-image based blind face hallucination
* 2017: Robust Human Pose Tracking For Realistic Service Robot Applications
* 2019: Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks
* 2020: Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge
* 2021: perf4sight: A toolflow to model CNN training performance on Edge GPUs
* 2022: Augmenting Softmax Information for Selective Classification with Out-of-distribution Data
* 2023: SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
* 2023: Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
Includes: Bouganis, C.S. Bouganis, C.S.[Christos-Savvas]
17 for Bouganis, C.S.
Bougard, F.[Francois]
* 2022: Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis
Includes: Bougard, F.[Francois] Bougard, F.[François]
Bougarradh, A.[Ahlem]
* 2016: Unsupervised Classification of Synthetic Aperture Radar Imagery Using a Bootstrap Version of the Generalized Mixture Expectation Maximization Algorithm
Bougeois, O.
* 1991: Postal Check Reading System, A
* 1996: Numeral Amount Recognition on Multi-Bank Checks
Bouges, P.[Pierre]
* 2012: Using k-nearest neighbors to handle missing weak classifiers in a boosted cascade
* 2013: Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection
Bouget, D.
* 2015: Detecting Surgical Tools by Modelling Local Appearance and Global Shape
Bouget, L.[Loic]
* 2005: Efficient Compression of Visibility Sets
Bouget, V.[Vincent]
* 2021: Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting
Boughaci, D.[Dalila]
* 2014: New Method to Improve Quality of Reconstructed Images in Tomography, A
* 2017: efficient multiple classifier system for Arabic handwritten words recognition, An
* 2018: Graph based model for information retrieval using a stochastic local search
Boughattas, N.[Naouel]
* 2014: Brain tumor segmentation from multiple MRI sequences using multiple kernel learning
Boughazi, M.
* 2016: Empirical mode decomposition for online handwritten signature verification
* 2020: Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion
Includes: Boughazi, M. Boughazi, M.[Mohamed]
Boughner, D.
* 2009: Rapid Dynamic Image Registration of the Beating Heart for Diagnosis and Surgical Navigation
Boughnim, N.[Nabil]
* 2012: Hand Posture Classification by Means of a New Contour Signature
Boughorbel, F.[Faysal]
* 2003: Estimating 3D camera motion without correspondences using a search for the best structure
* 2004: Gaussian energy functions for registration without correspondences
* 2004: Gaussian fields: a new criterion for 3D rigid registration
* 2005: Automatic Registration of 3D Datasets using Gaussian Fields
* 2005: New Method for Automatic 3D Face Registration, A
* 2007: Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition
* 2007: New Multiple-Windows Depth from Stereo Algorithm for 3D Displays, A
* 2010: new method for the registration of three-dimensional point-sets: The Gaussian Fields framework, A
8 for Boughorbel, F.
Boughorbel, S.
* 2004: Non-Mercer Kernels for SVM Object Recognition
* 2005: Generalized Histogram Intersection Kernel for Image Recognition
* 2006: Object Predetection Based on Kernel Parametric Distribution Fitting
* 2007: Comparison of face matching techniques under pose variation
* 2008: Accurate eye localization in low and standard definition content
* 2008: Eye localization for face matching: is it always useful and under what conditions?
* 2008: Online training of object detectors from unlabeled surveillance video
* 2009: Eye localization in low and standard definition content with application to face matching
* 2010: Baby-Posture Classification from Pressure-Sensor Data
Includes: Boughorbel, S. Boughorbel, S.[Sabri]
9 for Boughorbel, S.
Boughrara, H.[Hayet]
* 2013: Facial Expression Recognition Based on Perceived Facial Images and Local Feature Matching
* 2014: Face recognition based on perceived facial images and multilayer perceptron neural network using constructive training algorithm
Boughton, J.
* 2005: Not So Naive Bayes: Aggregating One-Dependence Estimators
Bougioukos, P.[Panagiotis]
* 2007: Assessing Estrogen Receptors' Status by Texture Analysis of Breast Tissue Specimens and Pattern Recognition Methods
* 2007: Biomarker Selection System, Employing an Iterative Peak Selection Method, for Identifying Biomarkers Related to Prostate Cancer
* 2007: Development of a Cascade Processing Method for Microarray Spot Segmentation
Bougler, B.
* 2007: Real-World Application of Lane-Guidance Technologies: Automated Snowblower, A
Bougleux, S.[Sebastien]
* 2005: Image Smoothing and Segmentation by Graph Regularization
* 2005: Three-Dimensional Structure Detection from Anisotropic Alpha-Shapes
* 2007: Discrete Regularization on Weighted Graphs for Image and Mesh Filtering
* 2007: Graph regularization for color image processing
* 2007: Parameterless Discrete Regularization on Graphs for Color Image Filtering
* 2007: Structure Detection from a 3D Set of Points with Anisotropic Alpha-Shapes
* 2008: Anisotropic Geodesics for Perceptual Grouping and Domain Meshing
* 2008: Non-local Regularization of Inverse Problems
* 2008: Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing
* 2009: Image compression with anisotropic triangulations
* 2009: Local and Nonlocal Discrete Regularization on Weighted Graphs for Image and Mesh Processing
* 2010: Kernel-Based Implicit Regularization of Structured Objects
* 2012: Shape Similarity Based on a Treelet Kernel with Edition
* 2012: Shape similarity based on combinatorial maps and a tree pattern kernel
* 2014: Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks
* 2015: Combination of Piecewise-Geodesic Paths for Interactive Segmentation
* 2016: Approximating Graph Edit Distance Using GNCCP
* 2016: Graph edit distance as a quadratic program
* 2017: Graph edit distance as a quadratic assignment problem
* 2017: Graph edit distance contest: Results and future challenges
* 2017: Hungarian Algorithm for Error-Correcting Graph Matching, A
* 2018: Approximating GED Using a Stochastic Generator and Multistart IPFP
* 2018: Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks
* 2018: p-Laplacian Regularization of Signals on Directed Graphs
* 2018: Patch-Based Potentials for Interactive Contour Extraction
* 2018: Quasimetric Graph Edit Distance as a Compact Quadratic Assignment Problem
* 2018: Ring Based Approximation of Graph Edit Distance
* 2019: 3D Colored Mesh Structure-Preserving Filtering with Adaptive P-Laplacian on Directed Graphs
* 2019: Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition, A
* 2020: Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy
* 2020: Fast linear sum assignment with error-correction and no cost constraints
* 2020: Improved local search for graph edit distance
* 2021: Learning Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition
* 2022: differentiable approximation for the Linear Sum Assignment Problem with Edition, A
Includes: Bougleux, S.[Sebastien] Bougleux, S.[Sébastien] Bougleux, S.
34 for Bougleux, S.
Bougnoux, S.[Sylvain]
* 1998: From Projective to Euclidean Space Under any Practical Situation, a Criticism of Self-Calibration
* 1998: Imposing Euclidean Constraints During Self-Calibration Processes
* 2004: 3D parking assistant system
Includes: Bougnoux, S.[Sylvain] Bougnoux, S.
Bougourzi, F.[Fares]
* 2019: Fusion of transformed shallow features for facial expression recognition
* 2022: CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3d Ct-scans
* 2022: ILC-Unet++ for Covid-19 Infection Segmentation
Bougre, M.
* 2020: Efficient Detection of Pixel-Level Adversarial Attacks
Bougrine, A.
* 2017: joint snake and atlas-based segmentation of plantar foot thermal images, A
Bouguechal, N.E.
* 2007: Electrocardiogram Compression Method Based on the Adaptive Wavelet Coefficients Quantization Combined to a Modified Two-Role Encoder
Bouguelia, M.R.[Mohamed Rafik]
* 2013: Document image and zone classification through incremental learning
* 2013: Stream-Based Semi-supervised Active Learning Approach for Document Classification, A
* 2014: Efficient Active Novel Class Detection for Data Stream Classification
* 2014: Multipage Administrative Document Stream Segmentation
* 2016: adaptive streaming active learning strategy based on instance weighting, An
Includes: Bouguelia, M.R.[Mohamed Rafik] Bouguelia, M.R.[Mohamed-Rafik]
Bouguessa, M.[Mohamed]
* 2006: K-means-based Algorithm for Projective Clustering, A
* 2006: objective approach to cluster validation, An
* 2021: Context Matters: Self-Attention for Sign Language Recognition
* 2024: contrastive variational graph auto-encoder for node clustering, A
Bouguet, A.[Arnaud]
* 2009: Fast nonparametric belief propagation for real-time stereo articulated body tracking
Bouguet, J.Y.[Jean Yves]
* 1995: Visual Navigation Using a Single Camera
* 1998: 3D Photography on Your Desk
* 1999: 3D Photography Using Shadows in Dual-Space Geometry
* 1999: What Do Planar Shadows Tell Us About Scene Geometry?
* 2000: Real Time System for Robust 3D Voxel Reconstruction of Human Motions, A
* 2000: Stereo based Gesture Recognition Invariant to 3D Pose and Lighting
* 2001: Data-Driven Model for Monocular Face Tracking, A
* 2002: Model-based face tracking for view-independent facial expression recognition
* 2005: Calibration of visual sensors and actuators in distributed computing platforms
* 2012: Street view goes indoors: Automatic pose estimation from uncalibrated unordered spherical panoramas
* 2013: Rolling Shutter Stereo
* 2015: Matlab Camera Calibration Toolbox
Includes: Bouguet, J.Y.[Jean Yves] Bouguet, J.Y.[Jean-Yves] Bouguet, J.Y.
12 for Bouguet, J.Y.
Bouguettaya, A.[Athman]
* 2009: Efficient Near-Duplicate Video Shot Detection Method Using Shot-Based Interest Points, An
Bouguezel, S.
* 2012: Reciprocal-Orthogonal Parametric Transform and Its Fast Algorithm, A
Bouguila, N.[Nizar]
* 2004: Powerful finite mixture model based on the generalized dirichlet distribution: unsupervised learning and applications
* 2004: Unsupervised learning of a finite gamma mixture using MML: Application to SAR image analysis
* 2004: Unsupervised Learning of a Finite Mixture Model Based on the Dirichlet Distribution and Its Application
* 2005: MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture
* 2005: Probabilistic Approach for Shadows Modeling and Detection, A
* 2005: Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications
* 2006: Hybrid SEM Algorithm for High-Dimensional Unsupervised Learning Using a Finite Generalized Dirichlet Mixture, A
* 2007: Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling, A
* 2007: Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation
* 2007: High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length
* 2007: Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling, A
* 2007: Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models
* 2007: Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization
* 2008: Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation
* 2008: Non-Gaussian mixture image models prediction
* 2009: Color texture classification by a discrete statistical model and feature selection
* 2009: Discrete data clustering using finite mixture models
* 2009: Generating Video Textures by PPCA and Gaussian Process Dynamical Model
* 2009: Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering, A
* 2009: Improved Online Support Vector Machines Spam Filtering Using String Kernels
* 2009: Online Video Textures Generation
* 2010: Discrete visual features modeling via leave-one-out likelihood estimation and applications
* 2010: Enhanced IR face recognition using Bayesian unsupervised algorithm
* 2010: Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection
* 2010: Unsupervised Feature Selection and Learning for Image Segmentation
* 2011: Bayesian hybrid generative discriminative learning based on finite Liouville mixture models
* 2011: Infinite Generalized Gaussian Mixture Modeling and Applications
* 2011: nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation, A
* 2012: Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features
* 2012: Image Text Detection Using a Bandlet-Based Edge Detector and Stroke Width Transform
* 2012: Infinite Liouville mixture models with application to text and texture categorization
* 2012: Video Completion Using Bandlet Transform
* 2013: Automatic Inpainting Scheme for Video Text Detection and Removal
* 2013: clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI, The
* 2013: Finite asymmetric generalized Gaussian mixture models learning for infrared object detection
* 2013: Online Facial Expression Recognition Based on Finite Beta-Liouville Mixture Models
* 2013: Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection
* 2014: Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection
* 2014: Bandlet-based sparsity regularization in video inpainting
* 2014: Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain
* 2014: Indoor Scene Recognition with a Visual Attention-Driven Spatial Pooling Strategy
* 2014: Online redundant image elimination and its application to wireless capsule endoscopy
* 2015: Dimensionality Reduction of Proportional Data Through Data Separation Using Dirichlet Distribution
* 2015: Dynamic Textures Clustering Using a Hierarchical Pitman-Yor Process Mixture of Dirichlet Distributions
* 2015: Image and video spatial super-resolution via bandlet-based sparsity regularization and structure tensor
* 2015: Semantic Scene Classification with Generalized Gaussian Mixture Models
* 2015: Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models
* 2016: Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification, A
* 2016: Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas
* 2016: Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model
* 2016: View-Based 3D Objects Recognition with Expectation Propagation Learning
* 2017: new latent generalized dirichlet allocation model for image classification, A
* 2018: Entropy-based variational Bayes learning framework for data clustering
* 2018: fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data, A
* 2018: Flexible Statistical Model for Image Denoising, A
* 2018: Hybrid Statistical Framework for Diabetic Retinopathy Detection
* 2018: Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM
* 2019: Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction
* 2019: Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting
* 2019: Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs: A practical study
* 2019: Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting
* 2020: Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection
* 2020: Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification
* 2020: Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting
* 2020: Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures
* 2020: Light Field Super-Resolution Using Edge-Preserved Graph-Based Regularization
* 2020: Multimodal action recognition using variational-based Beta-Liouville hidden Markov models
* 2020: Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition
* 2020: Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis
* 2020: Supervised dimensionality reduction of proportional data using mixture estimation
* 2021: BLOCK-DBSCAN: Fast clustering for large scale data
* 2021: Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning
* 2021: Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis
* 2021: Nonparametric variational learning of multivariate beta mixture models in medical applications
* 2021: Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions
* 2021: Online variational inference on finite multivariate Beta mixture models for medical applications
* 2021: Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models
* 2022: Embedded Spherical Topic Models for Supervised Learning
* 2022: Improved Training for 3D Point Cloud Classification
* 2022: Interactive Generalized Dirichlet Mixture Allocation Model
* 2022: Plug-and-Play video super-resolution using edge-preserving filtering
* 2022: Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach
* 2022: Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions
* 2023: Graph Neural Networks for Intelligent Transportation Systems: A Survey
* 2023: MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images
* 2023: UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment
* 2024: topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder, A
Includes: Bouguila, N.[Nizar] Bouguila, N.
87 for Bouguila, N.