| |
 |      |
                                               |
Note: Links lead to the DBLP on the Web. Nuno Vasconcelos Gustavo Carneiro , Nuno Vasconcelos: Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction. CRV 2005 : 253-260 Antoni B. Chan , Nuno Vasconcelos: Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes. CVPR (1) 2005 : 846-851 Gustavo Carneiro , Nuno Vasconcelos: Formulating Semantic Image Annotation as a Supervised Learning Problem. CVPR (2) 2005 : 163-168 Dashan Gao , Nuno Vasconcelos: Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes. CVPR (2) 2005 : 282-287 Antoni B. Chan , Nuno Vasconcelos: Mixtures of Dynamic Textures. ICCV 2005 : 641-647 Antoni B. Chan , Nuno Vasconcelos: Layered Dynamic Textures. NIPS 2005 Gustavo Carneiro , Nuno Vasconcelos: A database centric view of semantic image annotation and retrieval. SIGIR 2005 : 559-566 Nuno Vasconcelos, Manuela Vasconcelos : Scalable Discriminant Feature Selection for Image Retrieval and Recognition. CVPR (2) 2004 : 770-775 Nuno Vasconcelos, Purdy Ho , Pedro J. Moreno : The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition. ECCV (3) 2004 : 430-441 Dashan Gao , Nuno Vasconcelos: Discriminant Saliency for Visual Recognition from Cluttered Scenes. NIPS 2004 Nuno Vasconcelos: On the efficient evaluation of probabilistic similarity functions for image retrieval. IEEE Transactions on Information Theory 50 (7): 1482-1496 (2004) Nuno Vasconcelos: Feature Selection by Maximum Marginal Diversity: optimality and implications for visual recognition. CVPR (1) 2003 : 762-772 Nuno Vasconcelos: A family of information-theoretic algorithms for low-complexity discriminant feature selection in image retrieval. ICIP (3) 2003 : 741-744 Pedro J. Moreno , Purdy Ho , Nuno Vasconcelos: A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications. NIPS 2003 Nuno Vasconcelos, Gustavo Carneiro : What Is the Role of Independence for Visual Recognition? ECCV (1) 2002 : 297-311 Nuno Vasconcelos: Exploiting group structure to improve retrieval accuracy and speed in image databases. ICIP (1) 2002 : 980-983 Nuno Vasconcelos: Feature Selection by Maximum Marginal Diversity. NIPS 2002 : 1351-1358 Nuno Vasconcelos: Image Indexing with Mixture Hierarchies. CVPR (1) 2001 : 3-10 Nuno Vasconcelos: On the Complexity of Probabilistic Image Retrieval. ICCV 2001 : 400-407 Nuno Vasconcelos, Murat Kunt : Content-based retrieval from image databases: current solutions and future directions. ICIP (3) 2001 : 6-9 Nuno Vasconcelos, Andrew Lippman : Empirical Bayesian Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 23 (2): 217-221 (2001) Nuno Vasconcelos, Andrew Lippman : A Probabilistic Architecture for Content-Based Image Retrieval. CVPR 2000 : 1216-1221 Nuno Vasconcelos, Andrew Lippman : Learning Over Multiple Temporal Scales in Image Databases. ECCV (1) 2000 : 33-47 Nuno Vasconcelos, Andrew Lippman : A Unifying View of Image Similarity. ICPR 2000 : 1038-1041 Nuno Vasconcelos, Andrew Lippman : Feature Representations for Image Retrieval: Beyond the Color Histogram. IEEE International Conference on Multimedia and Expo (II) 2000 : 899-902 Nuno Vasconcelos, Andrew Lippman : Bayesian Video Shot Segmentation. NIPS 2000 : 1009-1015 Nuno Vasconcelos, Andrew Lippman : Statistical models of video structure for content analysis and characterization. IEEE Transactions on Image Processing 9 (1): 3-19 (2000) Nuno Vasconcelos, Andrew Lippman : Learning from User Feedback in Image Retrieval Systems. NIPS 1999 : 977-986 Nuno Vasconcelos, Andrew Lippman : A Spatiotemporal Motion Model for Video Summarization. CVPR 1998 : 361-366 Nuno Vasconcelos, Andrew Lippman : A Bayesian Framework for Semantic Content Characterization. CVPR 1998 : 566-571 Nuno Vasconcelos, Andrew Lippman : A Bayesian Framework for Content-Based Indexing and Retrieval. Data Compression Conference 1998 : 580 Nuno Vasconcelos, Andrew Lippman : Bayesian Modeling of Video Editing and Structure: Semantic Features for Video Summarization and Browsing. ICIP (3) 1998 : 153-157 Nuno Vasconcelos, Andrew Lippman : Learning Mixture Hierarchies. NIPS 1998 : 606-612 Nuno Vasconcelos, Andrew Lippman : Empirical Bayesian EM-based Motion Segmentation. CVPR 1997 : 527- Nuno Vasconcelos, Andrew Lippman : Library-based Coding: a Representation for Efficient Video Compression and Retrieval. Data Compression Conference 1997 : 121-130 Nuno Vasconcelos, Andrew Lippman : Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content. ICIP (1) 1997 : 25-28 Nuno Vasconcelos, Frédéric Dufaux : Pre and Post-Filtering for Low Bit-Rate Video Coding. ICIP (1) 1997 : 291-294 Nuno Vasconcelos, Andrew Lippman : Content-Based Pre-Indexed Video. ICIP (2) 1997 : 542-545 Nuno Vasconcelos, Andrew Lippman : Multiresolution Tangent Distance for Affine-invariant Classification. NIPS 1997 Nuno Vasconcelos, Andrew Lippman : Spatiotemporal model-based optic flow estimation. ICIP 1995 : 2201-2204 1 [ 26 ] [ 34 ] [ 38 ] [ 40 ] 2 [ 35 ] [ 36 ] [ 39 ] 3 [ 4 ] 4 [ 31 ] [ 37 ] 5 [ 27 ] [ 32 ] 6 [ 21 ] 7 [ 1 ] [ 2 ] [ 3 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 15 ] [ 16 ] [ 17 ] [ 18 ] [ 19 ] [ 20 ] 8 [ 27 ] [ 32 ] 9 [ 33 ]  ©2006 Association for Computing Machinery |
