- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Anchorage, 2008. Privacy Preserving Crowd Monitoring
- A Bayesian Architecture for Combining Saliency Detectors Dashan Gao and Nuno Vasconcelos
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Integrated learning of saliency, complex features, and object detectors from
- Shorter version appears in IEEE Conf. on Computer Vision and Pattern Recognition, Washington DC, 2004. Scalable Discriminant Feature Selection for Image Retrieval and Recognition
- Appears in Proc. IEEE Conference in Computer Vision and Pattern Recognition, San Juan, Puerto Rico, 1997. Empirical Bayesian EM-based Motion Segmentation
- Spatiotemporal Saliency in Dynamic Scenes Vijay Mahadevan, Student Member, IEEE, and
- Variable margin losses for classifier design Hamed MasnadiShirazi
- Appears in \IEEE International Conference in Image Processing", Santa Barbara, California, 1997. 1 CONTENT-BASED PRE-INDEXED VIDEO
- Minimum Bayes error features for visual recognition Gustavo Carneiro a, * , Nuno Vasconcelos b
- Appears in IEEE Conference Computer Vision and Pattern Recognition, Santa Barbara, California, 1998. A Spatiotemporal Motion Model for Video Summarization
- Shorter version appears in IEEE Conf. on Computer Vision and Pattern Recognition, Washington DC, 2004. Scalable Discriminant Feature Selection for Image Retrieval and Recognition
- Image Retrieval using Query by Contextual Example Nikhil Rasiwasia and Nuno Vasconcelos
- Appears in IEEE Conference Computer Vision and Pattern Recognition, Santa Barbara, California, 1998. A Bayesian Framework for Semantic Content Characterization
- Appears in IEEE International Conference on Computer Vision, Beijing, 2005. Mixtures of Dynamic Textures
- A Bayesian framework for content-based indexing and retrieval
- Appears in Proc. IEEE Conference Computer Vision and Pattern Recognition, Hilton Head, North Carolina, 2000.
- A KullbackLeibler Divergence Based Kernel for SVM Classification in Multimedia Applications
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Integrated learning of saliency, complex features, and object detectors from
- 1482 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 7, JULY 2004 On the Efficient Evaluation of Probabilistic Similarity
- Efficient Computation of the KL Divergence between Dynamic Antoni B. Chan and Nuno Vasconcelos
- Discriminant Saliency, the Detection of Suspicious Coincidences,
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Minneapolis, 2007. Classifying Video with Kernel Dynamic Textures
- A Multi-resolution Manifold Distance for Invariant Image Similarity
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Madison, Wisconsin, 2003. Feature Selection by Maximum Marginal Diversity: optimality and implications
- EXPLOITING GROUP STRUCTURE TO IMPROVE RETRIEVAL ACCURACY AND SPEED IN IMAGE DATABASES
- Appears in 11th IEEE Intl. Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2009), Miami, 2009. Analysis of Crowded Scenes using Holistic Properties
- 2322 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 8, AUGUST 2004 Minimum Probability of Error Image Retrieval
- Appears in the Neural Information Processing Systems (NIPS) Conference, 2007. The discriminant centersurround hypothesis for
- A shorter version appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Integrated learning of saliency, complex features, and object detectors from
- A Multiresolution Manifold Distance for Invariant Image Similarity
- Appears in 2005 IEEE Intelligent Vehicles Symposium, Las Vegas. Classification and Retrieval of Traffic Video Using
- MOTION VECTOR REFINEMENT FOR FRUC USING SALIENCY AND SEGMENTATION Natan Jacobson, YenLin Lee, Vijay Mahadevan, Nuno Vasconcelos, Truong Q. Nguyen
- Asymmetric Boosting Hamed Masnadi-Shirazi HMASNADI@UCSD.EDU
- MOTION VECTOR REFINEMENT FOR FRUC USING SALIENCY AND SEGMENTATION Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno Vasconcelos, Truong Q. Nguyen
- Appears in European Conference on Computer Vision, Prague, 2004. The Kullback-Leibler Kernel as a Framework for
- Appears in Proc. IEEE Conference in Computer Vision and Pattern Recognition, Kauai, Hawai, 2001 Image Indexing with Mixture Hierarchies
- Efficient Computation of the KL Divergence between Dynamic Antoni B. Chan and Nuno Vasconcelos
- Appears in Proc. IEEE Conference in Computer Vision and Pattern Recognition, San Juan, Puerto Rico, 1997. Empirical Bayesian EMbased Motion Segmentation 1
- Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
- Appears in IEEE Int'l Conf. on Computer Vision, Kyoto, 2009. Bayesian Poisson Regression for Crowd Counting
- Appears in \IEEE International Conference in Image Processing", Washington DC, 1995. 1 SPATIOTEMPORAL MODEL-BASED OPTIC FLOW ESTIMATION 1
- COMPLEX DISCRIMINANT FEATURES FOR OBJECT CLASSIFICATION Sunhyoung Han Nuno Vasconcelos
- Librarybased coding: a representation for efficient video compression and retrieval
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Probabilistic Kernels for the Classification of AutoRegressive Visual Processes
- Appears in Neural Information Processing Systems 19, Vancouver, 2005. Layered Dynamic Textures
- Appears in European Conference in Computer Vision, Dublin, Ireland, 2000. Learning over multiple temporal scales in image
- Appears in Neural Information Processing Systems, Vancouver, Canada, 2002. Feature Selection by Maximum Marginal
- Formulating Semantic Image Annotation as a Supervised Learning Gustavo Carneiro and Nuno Vasconcelos
- IEEE TRANSACTIONS ON IMAGE PROCESSING, 1 A Novel Approach to FRUC using Discriminant
- A Database Centric View of Semantic Image Annotation and Retrieval
- Variable margin losses for classifier design Hamed Masnadi-Shirazi
- Cost-Sensitive Boosting Hamed Masnadi-Shirazi and Nuno Vasconcelos, Senior Member, IEEE
- Biologically plausible saliency mechanisms improve feedforward object recognition Sunhyoung Han *, Nuno Vasconcelos
- A New Approach to Cross-Modal Multimedia Retrieval Nikhil Rasiwasia1
- On the design of robust classifiers for computer vision Hamed Masnadi-Shirazi Vijay Mahadevan Nuno Vasconcelos
- To appear in IEEE Conf. on Computer Vision and Pattern Recognition, San Francisco, 2010. Anomaly Detection in Crowded Scenes
- Layered Dynamic Textures Antoni B. Chan, Member, IEEE, and Nuno Vasconcelos, Senior Member, IEEE
- Holistic Context Modeling using Semantic Co-occurrences Nikhil Rasiwasia Nuno Vasconcelos
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Miami Beach, 2009. Variational Layered Dynamic Textures
- Derivations for the Layered Dynamic Texture and Temporally-Switching Layered Dynamic Texture
- On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
- Appears in IEEE International Conference on Image Processing, San Diego, 2008. A SYSTEMATIC STUDY OF THE ROLE OF CONTEXT ON IMAGE CLASSIFICATION
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Anchorage, 2008. Background Subtraction in Highly Dynamic Scenes
- Appears in IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, 2007 Bottom-up saliency is a discriminant process
- Direct Convex Relaxations of Sparse SVM Antoni B. Chan abchan@ucsd.edu
- Supplemental Material for "Classifying Video with Kernel Dynamic Antoni B. Chan and Nuno Vasconcelos
- IMAGE COMPRESSION USING OBJECT-BASED REGIONS OF INTEREST Sunhyoung Han Nuno Vasconcelos
- Appears in Joint Statistical Meetings (JSM), Seattle, 2006 Using Statistics to Search and Annotate Pictures: an Evaluation of Semantic Image Annotation
- A Database Centric View of Semantic Image Annotation and Retrieval
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes
- A shorter version appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes
- A shorter version appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Integrated learning of saliency, complex features, and object detectors from
- Appears in 2005 IEEE Intelligent Vehicles Symposium, Las Vegas. Classification and Retrieval of Traffic Video Using
- The EM Algorithm for Layered Dynamic Textures Antoni Chan and Nuno Vasconcelos
- A Family of Probabilistic Kernels Based on Information Divergence Antoni B. Chan, Nuno Vasconcelos, and Pedro J. Moreno
- EXPLOITING GROUP STRUCTURE TO IMPROVE RETRIEVAL ACCURACY AND SPEED IN IMAGE DATABASES
- Empirical Bayesian Motion Segmentation Nuno Vasconcelos, Andrew Lippman
- Appears in "Proceedings International Conference on Image Processing" Thessaloniki, Greece, 2001. 1 CONTENT-BASED RETRIEVAL FROM IMAGE DATABASES: CURRENT SOLUTIONS AND
- Appears in "Proceedings International Conference on Pattern Recognition", Barcelona, Spain, September 2000 1
- Appears in "Advances in Neural Information Processing Systems 12" S.A. Solla, T.K. Leen and K.-R. Muller (eds.), MIT Press (2000)
- Appears in Neural Information Processing Systems, Denver, Colorado, 1998. Learning Mixture Hierarchies
- On the plausibility of the discriminant center-surround hypothesis for visual saliency
- Library-based coding: a representation for e cient video compression and retrieval
- Natural Image Statistics and LowComplexity Feature Selection
- Appears in European Conference in Computer Vision, Copenhagen, Denmark, 2002. What is the Role of Independence for Visual
- Duals of the QCQP and SDP Sparse SVM Antoni B. Chan, Nuno Vasconcelos, and Gert R. G. Lanckriet
- A Bayesian Architecture for Combining Saliency Detectors Dashan Gao and Nuno Vasconcelos
- IEEE TRANSACTIONS ON IMAGE PROCESSING, 1 A Novel Approach to FRUC using Discriminant
- Appears in the Neural Information Processing Systems (NIPS) Conference, 2007. The discriminant center-surround hypothesis for
- Spatiotemporal Saliency in Dynamic Scenes Vijay Mahadevan, Student Member, IEEE, and
- Appears in IEEE Int'l Conf. on Computer Vision, Kyoto, 2009. Bayesian Poisson Regression for Crowd Counting
- Appears in ``Advances in Neural Information Processing Systems 12'' S.A. Solla, T.K. Leen and K.R. M uller (eds.), MIT Press (2000)
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Madison, Wisconsin, 2003. Feature Selection by Maximum Marginal Diversity: optimality and implications
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Minneapolis, 2007. Discriminant Interest Points are Stable
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Minneapolis, 2007. Classifying Video with Kernel Dynamic Textures
- A shorter version appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Probabilistic Kernels for the Classification of AutoRegressive Visual Processes
- Anomaly Detection in Crowded Scenes Vijay Mahadevan Weixin Li Viral Bhalodia Nuno Vasconcelos
- Appears in ``Proceedings International Conference on Multimedia and Expo'' New York, August 2000 1 FEATURE REPRESENTATIONS FOR IMAGE RETRIEVAL: BEYOND THE COLOR
- Appears in 3rd International Workshop on Semantic Learning and Applications in Multimedia, Anchorage, 2008. A Study of Query by Semantic Example
- Discriminant Saliency for Visual Recognition from Cluttered Scenes
- Appears in ``Proceedings 15 th International Conference on Pattern Recognition'', Barcelona, Spain, September 2000 1 A Unifying View of Image Similarity
- A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications
- Appears in "Proceedings International Conference on Multimedia and Expo" New York, August 2000 1 FEATURE REPRESENTATIONS FOR IMAGE RETRIEVAL: BEYOND THE COLOR
- Appears in Proc. IEEE Conference Computer Vision and Pattern Recognition, Hilton Head, North Carolina, 2000.
- Discriminant Saliency for Visual Recognition from Cluttered Scenes
- Appears in IEEE International Conference on Computer Vision, Beijing, 2005. Mixtures of Dynamic Textures
- IOP PUBLISHING PHYSICS IN MEDICINE AND BIOLOGY Phys. Med. Biol. 54 (2009) 981--992 doi:10.1088/00319155/54/4/011
- On the design of robust classifiers for computer vision Hamed MasnadiShirazi Vijay Mahadevan Nuno Vasconcelos
- Query by Semantic Example Nikhil Rasiwasia 1 , Nuno Vasconcelos 1 , and Pedro J. Moreno 2
- Appears in Joint Statistical Meetings (JSM), Seattle, 2006 Using Statistics to Search and Annotate Pictures: an Evaluation of Semantic Image Annotation
- Appears in International Conference on Artificial Neural Networks, Istanbul, Turkey, 2003. The design of endtoend optimal image retrieval systems
- Empirical Bayesian Motion Segmentation Nuno Vasconcelos, Andrew Lippman
- Appears in \IEEE International Conference in Image Processing", Lausanne, Switzerland, 1996. 1 FRAME-FREE VIDEO
- Appears in Neural Information Processing Systems, Denver, Colorado, 1998. Learning Mixture Hierarchies
- Objectbased regions of interest for image compression Sunhyoung Han
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Formulating Semantic Image Annotation as a Supervised Learning Problem
- Appears in 3rd International Workshop on Semantic Learning and Applications in Multimedia, Anchorage, 2008. A Study of Query by Semantic Example
- 0018-9162/07/$25.00 2007 IEEE20 Computer Published by the IEEE Computer Society C O M P U T I N G P R A C T I C E S
- COMPLEX DISCRIMINANT FEATURES FOR OBJECT CLASSIFICATION Sunhyoung Han Nuno Vasconcelos
- IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 9, NO. 5, AUGUST 2007 923 Bridging the Gap: Query by Semantic Example
- appears in proceedings of the IEEE Conference in Computer Vision and Pattern Recognition, New York, 2006. Weakly Supervised Top-down Image Segmentation
- High Detectionrate Cascades for RealTime Object Detection Hamed MasnadiShirazi, Nuno Vasconcelos
- Direct Convex Relaxations of Sparse SVM Antoni B. Chan abchan@ucsd.edu
- Appears in \IEEE International Conference in Image Processing", Chicago, Illinois, 1998. 1 BAYESIAN MODELING OF VIDEO EDITING AND STRUCTURE: SEMANTIC
- Appears in 2 nd Canadian Conference on Computer and Robot Vision, Victoria, Canada, 2005. Minimum Bayes Error Features for Visual Recognition by Sequential Feature
- On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
- Appears in IEEE International Conference on Image Processing, San Diego, 2008. A SYSTEMATIC STUDY OF THE ROLE OF CONTEXT ON IMAGE CLASSIFICATION
- On the plausibility of the discriminant centersurround hypothesis for visual saliency
- Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
- SINGLE IMAGE SUPERRESOLUTION BASED ON SUPPORT VECTOR REGRESSION Karl S. Ni, Sanjeev Kumar, Nuno Vasconcelos, Truong Q. Nguyen
- Formulating Semantic Image Annotation as a Supervised Learning Gustavo Carneiro and Nuno Vasconcelos
- Direct Convex Relaxations of Sparse SVM Antoni B. Chan abchan@ucsd.edu
- IMAGE COMPRESSION USING OBJECTBASED REGIONS OF INTEREST Sunhyoung Han Nuno Vasconcelos #
- Discriminant saliency, the detection of suspicious coincidences, and applications to
- Appears in 2nd Canadian Conference on Computer and Robot Vision, Victoria, Canada, 2005.
- High Detection-rate Cascades for Real-Time Object Detection Hamed Masnadi-Shirazi, Nuno Vasconcelos
- Natural Image Statistics and Low-Complexity Feature Selection
- Query by Semantic Example Nikhil Rasiwasia1
- Appears in Neural Information Processing Systems 19, Vancouver, 2005. Layered Dynamic Textures
- Appears in International Conference on Artificial Neural Networks, Istanbul, Turkey, 2003. The design of end-to-end optimal image retrieval systems
- Appears in ``Proceedings International Conference on Image Processing'' Thessaloniki, Greece, 2001. 1 CONTENTBASED RETRIEVAL FROM IMAGE DATABASES: CURRENT SOLUTIONS AND
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 9, NO. 1, JANUARY 2000 1 Statistical Models of Video Structure for Content
- Appears in IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, 2007 Bottomup saliency is a discriminant process
- SINGLE IMAGE SUPERRESOLUTION BASED ON SUPPORT VECTOR REGRESSION Karl S. Ni, Sanjeev Kumar, Nuno Vasconcelos, Truong Q. Nguyen
- Appears in \IEEE International Conference in Image Processing", Santa Barbara, California, 1997. 1 TOWARDS SEMANTICALLY MEANINGFUL FEATURE SPACES FOR THE
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, 2005. Formulating Semantic Image Annotation as a Supervised Learning Problem
- To appear in IEEE Conf. on Computer Vision and Pattern Recognition, Miami, 2009. Saliency-based Discriminant Tracking
- 1482 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 7, JULY 2004 On the Efficient Evaluation of Probabilistic Similarity
- CostSensitive Boosting Hamed MasnadiShirazi, and Nuno Vasconcelos, Senior Member, IEEE Statistical Visual Computing Laboratory,
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Minneapolis, 2007. Discriminant Interest Points are Stable
- LETTER Communicated by Virginia de Sa Decision-Theoretic Saliency: Computational Principles,
- Layered Dynamic Textures Antoni B. Chan, Member, IEEE, and Nuno Vasconcelos, Senior Member, IEEE
- Appears in IEEE Conf. on Computer Vision and Pattern Recognition, Anchorage, 2008. Background Subtraction in Highly Dynamic Scenes
- Supplemental Material for ``Classifying Video with Kernel Dynamic Antoni B. Chan and Nuno Vasconcelos
- Appears in Neural Information Processing Systems, Vancouver, Canada, 2002. Feature Selection by Maximum Marginal
- Duals of the QCQP and SDP Sparse SVM Antoni B. Chan, Nuno Vasconcelos, and Gert R. G. Lanckriet
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 9, NO. 1, JANUARY 2000 1 Statistical Models of Video Structure for Content
- Minimum Bayes error features for visual recognition Gustavo Carneiro a,*, Nuno Vasconcelos b
- Object-based regions of interest for image compression Sunhyoung Han
- appears in proceedings of the IEEE Conference in Computer Vision and Pattern Recognition, New York, 2006. Weakly Supervised Topdown Image Segmentation
- LETTER Communicated by Virginia de Sa DecisionTheoretic Saliency: Computational Principles,
- 2322 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 8, AUGUST 2004 Minimum Probability of Error Image Retrieval
- The EM Algorithm for Layered Dynamic Textures Antoni Chan and Nuno Vasconcelos
- 00189162/07/$25.00 2007 IEEE 20 Computer Pub s hed b y t he I EEE Comp u e r Soc e t y
- Appears in Proc. IEEE Conference in Computer Vision and Pattern Recognition, Kauai, Hawai, 2001 Image Indexing with Mixture Hierarchies
- TaylorBoost: First and Second-order Boosting Algorithms with Explicit Margin Mohammad J. Saberian Hamed Masnadi-Shirazi Nuno Vasconcelos
- Machine Vision and Applications DOI 10.1007/s00138-010-0262-3
- Boosting Classifier Cascades Mohammad J. Saberian
- Boosting Classifier Cascades Mohammad J. Saberian
- Noname manuscript No. (will be inserted by the editor)
- TaylorBoost: First and Secondorder Boosting Algorithms with Explicit Margin Mohammad J. Saberian Hamed MasnadiShirazi Nuno Vasconcelos
- Learning Pit Pattern Concepts for Gastroenterological Training
- JOURNAL OF LATEX CLASS FILES, VOL. 1, NO. 8, AUGUST 2002 1 Holistic Context Models for Visual Recognition
- Appendix for Holistic Context Models for Visual Recognition
- Adapted Gaussian Models for Image Classification Mandar Dixit Nikhil Rasiwasia Nuno Vasconcelos
- Adapted Gaussian Models for Image Classification Mandar Dixit Nikhil Rasiwasia Nuno Vasconcelos
- Appendix for Holistic Context Models for Visual Recognition
- JOURNAL OF L A T E X CLASS FILES, VOL. 1, NO. 8, AUGUST 2002 1 Holistic Context Models for Visual Recognition
- Learning Pit Pattern Concepts for Gastroenterological Training
- Counting People with LowLevel Features and Bayesian Regression
- Counting People with Low-Level Features and Bayesian Regression
