Vitrack Tamam, S.[Snir]
* 2020: Random Forest Algorithm Improves Detection of Physiological Activity Embedded within Reflectance Spectra Using Stomatal Conductance as a Test Case
Includes: Vitrack Tamam, S.[Snir] Vitrack-Tamam, S.[Snir]
Vitri, J.
* 2007: Bayesian Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis
Vitria Marca, J.[Jordi]
* 2012: Role of Facial Regions in Evaluating Social Dimensions, The
Includes: Vitria Marca, J.[Jordi] Vitrià Marca, J.[Jordi]
Vitria, J.[Jordi]
* 1900: Discriminant Local Regions Using Support Vector Machines
* 1996: 3X3 decomposition of circular structuring elements
* 1996: Contrast-Based Focusing Criterium, A
* 1996: Reconstructing 3D Light-Microscopic Images Using the EM Algorithm
* 1997: Multidimensional-Scaling Approach to Explore the Behavior of a Texture-Perception Algorithm, A
* 1997: Optimal 3x3 Decomposable Disks for Morphological Transformations
* 1999: EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
* 2000: Comparison of Global Versus Local Color Histograms for Object Recognition, A
* 2000: Eigenfiltering for Flexible EigenTracking (EFE)
* 2000: Eigensnakes for Vessel Segmentation in Angiography
* 2000: Learning mixture models using a genetic version of the EM algorithm
* 2000: Local Discriminant Regions Using Support Vector Machines for Object Recognition
* 2000: Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
* 2000: Tracking of Elongated Structures using Statistical Snakes
* 2001: Clustering in image space for place recognition and visual annotations for human-robot interaction
* 2001: Discriminant basis for object classification
* 2001: Independent Modes of Variation in Point Distribution Models
* 2001: Region-based Approach for Discriminant Snakes
* 2001: Topological principal component analysis for face encoding and recognition
* 2001: Unsupervised Learning of Part-Based Representations
* 2001: Using an ICA Representation of High Dimensional Data for Object Recognition and Classification
* 2001: Weighted Non-negative Matrix Factorization for Local Representations, A
* 2002: Analyzing non-negative matrix factorization for image classification
* 2002: Determining a suitable metric when using non-negative matrix factorization
* 2003: Evaluation of distance metrics for recognition based on non-negative matrix factorization
* 2003: Higher-order dependencies in local appearance models
* 2003: Introducing a weighted non-negative matrix factorization for image classification
* 2003: Local appearance-based models using high-order statistics of image features
* 2003: Nonparametric discriminant analysis and nearest neighbor classification
* 2003: On the selection and classification of independent features
* 2003: Using an ICA representation of local color histograms for object recognition
* 2005: Are External Face Features Useful for Automatic Face Classification?
* 2005: Contribution of External Features to Face Recognition, The
* 2005: Feature Extraction Methods for Real-Time Face Detection and Classification
* 2006: Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy
* 2006: Boosted discriminant projections for nearest neighbor classification
* 2006: Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output Codes
* 2006: Face Verification using External Features
* 2006: Gender Recognition in Non Controlled Environments
* 2006: Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions
* 2006: Machine Learning Framework Using SOMs: Applications in the Intestinal Motility Assessment, A
* 2007: Eigenmotion-Based Detection of Intestinal Contractions
* 2007: Hierarchical Approach for Multi-task Logistic Regression, A
* 2007: Incremental Subspace Learning for Cognitive Visual Processes
* 2007: Online Learning for Human-Robot Interaction
* 2007: Semi-supervised Learning Method for Motility Disease Diagnostic, A
* 2008: Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy
* 2008: Evolutionary Object Detection by Means of Naïve Bayes Models Estimation
* 2008: Learning to learn: From smart machines to intelligent machines
* 2008: On the use of independent tasks for face recognition
* 2008: Weighted Dissociated Dipoles: An Extended Visual Feature Set
* 2009: Dominance detection in face-to-face conversations
* 2009: Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification
* 2010: Aligning endoluminal scene sequences in wireless capsule endoscopy
* 2010: Automatic point-based facial trait judgments evaluation
* 2010: Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions
* 2010: Online pattern recognition and machine learning techniques for computer-vision: Theory and applications
* 2011: Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models
* 2011: cluster-based strategy for active learning of RGB-D object detectors, A
* 2011: Interactive Labeling of WCE Images
* 2011: Predicting dominance judgements automatically: A machine learning approach
* 2011: Traffic-Sign Recognition Systems
* 2012: Human Relative Position Detection Based on Mutual Occlusion
* 2012: Minimal design of error-correcting output codes
* 2012: search based approach to non maximum suppression in face detection, A
* 2012: Selected papers from Iberian Conference on Pattern Recognition and Image Analysis
* 2012: Sketchable Histograms of Oriented Gradients for Object Detection
* 2013: Multimodal Interaction in Image and Video Applications
* 2014: Intestinal event segmentation for endoluminal video analysis
* 2015: Learning to count with deep object features
* 2016: Deep Learning Features for Wireless Capsule Endoscopy Analysis
* 2018: Uncertainty Gated Network for Land Cover Segmentation
* 2019: Explaining Visual Models by Causal Attribution
* 2019: Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis
* 2019: Using the Triplet Loss for Domain Adaptation in WCE
* 2022: Time-coherent embeddings for Wireless Capsule Endoscopy
* 2023: Leveraging Embedding Information to Create Video Capsule Endoscopy Datasets
* 2023: Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data
Includes: Vitria, J.[Jordi] Vitrià, J.[Jordi] Vitria, J. Vitriá, J.[Jordi] Vitrià, J.
78 for Vitria, J.
Vitria, Y.J.[Y. Jordi]
* 2006: Robust Particle Filter-Based Face Tracker Using Combination of Color and Geometric Information, A
Includes: Vitria, Y.J.[Y. Jordi] Vitrià, Y.J.[Y. Jordi]