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Nuno Vasconcelos: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Nikhil Rasiwasia, Nuno Vasconcelos, Pedro J. Moreno
    Query by Semantic Example. [Citation Graph (0, 0)][DBLP]
    CIVR, 2006, pp:51-60 [Conf]
  2. Gustavo Carneiro, Nuno Vasconcelos
    Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction. [Citation Graph (0, 0)][DBLP]
    CRV, 2005, pp:253-260 [Conf]
  3. Gustavo Carneiro, Nuno Vasconcelos
    Formulating Semantic Image Annotation as a Supervised Learning Problem. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:163-168 [Conf]
  4. Antoni B. Chan, Nuno Vasconcelos
    Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2005, pp:846-851 [Conf]
  5. Dashan Gao, Nuno Vasconcelos
    Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:282-287 [Conf]
  6. Nuno Vasconcelos
    Image Indexing with Mixture Hierarchies. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2001, pp:3-10 [Conf]
  7. Nuno Vasconcelos
    Feature Selection by Maximum Marginal Diversity: optimality and implications for visual recognition. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2003, pp:762-772 [Conf]
  8. Nuno Vasconcelos, Andrew Lippman
    A Probabilistic Architecture for Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:1216-1221 [Conf]
  9. Nuno Vasconcelos, Andrew Lippman
    Empirical Bayesian EM-based Motion Segmentation. [Citation Graph (0, 0)][DBLP]
    CVPR, 1997, pp:527-0 [Conf]
  10. Nuno Vasconcelos, Andrew Lippman
    A Spatiotemporal Motion Model for Video Summarization. [Citation Graph (0, 0)][DBLP]
    CVPR, 1998, pp:361-366 [Conf]
  11. Nuno Vasconcelos, Andrew Lippman
    A Bayesian Framework for Semantic Content Characterization. [Citation Graph (0, 0)][DBLP]
    CVPR, 1998, pp:566-571 [Conf]
  12. Nuno Vasconcelos, Manuela Vasconcelos
    Scalable Discriminant Feature Selection for Image Retrieval and Recognition. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:770-775 [Conf]
  13. Manuela Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro
    Weakly Supervised Top-down Image Segmentation. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2006, pp:1001-1006 [Conf]
  14. Nuno Vasconcelos, Andrew Lippman
    Library-based Coding: a Representation for Efficient Video Compression and Retrieval. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1997, pp:121-130 [Conf]
  15. Nuno Vasconcelos, Andrew Lippman
    A Bayesian Framework for Content-Based Indexing and Retrieval. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1998, pp:580- [Conf]
  16. Nuno Vasconcelos, Gustavo Carneiro
    What Is the Role of Independence for Visual Recognition? [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2002, pp:297-311 [Conf]
  17. Nuno Vasconcelos, Purdy Ho, Pedro J. Moreno
    The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition. [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2004, pp:430-441 [Conf]
  18. Nuno Vasconcelos, Andrew Lippman
    Learning Over Multiple Temporal Scales in Image Databases. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2000, pp:33-47 [Conf]
  19. Antoni B. Chan, Nuno Vasconcelos
    Mixtures of Dynamic Textures. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:641-647 [Conf]
  20. Nuno Vasconcelos
    On the Complexity of Probabilistic Image Retrieval. [Citation Graph (0, 0)][DBLP]
    ICCV, 2001, pp:400-407 [Conf]
  21. Nuno Vasconcelos
    Exploiting group structure to improve retrieval accuracy and speed in image databases. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:980-983 [Conf]
  22. Nuno Vasconcelos
    A family of information-theoretic algorithms for low-complexity discriminant feature selection in image retrieval. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2003, pp:741-744 [Conf]
  23. Nuno Vasconcelos, Frédéric Dufaux
    Pre and Post-Filtering for Low Bit-Rate Video Coding. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1997, pp:291-294 [Conf]
  24. Nuno Vasconcelos, Murat Kunt
    Content-based retrieval from image databases: current solutions and future directions. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2001, pp:6-9 [Conf]
  25. Nuno Vasconcelos, Andrew Lippman
    Spatiotemporal model-based optic flow estimation. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:2201-2204 [Conf]
  26. Nuno Vasconcelos, Andrew Lippman
    Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1997, pp:25-28 [Conf]
  27. Nuno Vasconcelos, Andrew Lippman
    Content-Based Pre-Indexed Video. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1997, pp:542-545 [Conf]
  28. Nuno Vasconcelos, Andrew Lippman
    Bayesian Modeling of Video Editing and Structure: Semantic Features for Video Summarization and Browsing. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1998, pp:153-157 [Conf]
  29. Nuno Vasconcelos, Andrew Lippman
    Feature Representations for Image Retrieval: Beyond the Color Histogram. [Citation Graph (0, 0)][DBLP]
    IEEE International Conference on Multimedia and Expo (II), 2000, pp:899-902 [Conf]
  30. Nuno Vasconcelos, Andrew Lippman
    A Unifying View of Image Similarity. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:1038-1041 [Conf]
  31. Antoni B. Chan, Nuno Vasconcelos
    Layered Dynamic Textures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  32. Dashan Gao, Nuno Vasconcelos
    Discriminant Saliency for Visual Recognition from Cluttered Scenes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  33. Pedro J. Moreno, Purdy Ho, Nuno Vasconcelos
    A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  34. Nuno Vasconcelos
    Feature Selection by Maximum Marginal Diversity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1351-1358 [Conf]
  35. Nuno Vasconcelos, Andrew Lippman
    Bayesian Video Shot Segmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1009-1015 [Conf]
  36. Nuno Vasconcelos, Andrew Lippman
    Multiresolution Tangent Distance for Affine-invariant Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  37. Nuno Vasconcelos, Andrew Lippman
    Learning Mixture Hierarchies. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:606-612 [Conf]
  38. Nuno Vasconcelos, Andrew Lippman
    Learning from User Feedback in Image Retrieval Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:977-986 [Conf]
  39. Gustavo Carneiro, Nuno Vasconcelos
    A database centric view of semantic image annotation and retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2005, pp:559-566 [Conf]
  40. Nuno Vasconcelos, Andrew Lippman
    Empirical Bayesian Motion Segmentation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:2, pp:217-221 [Journal]
  41. Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos
    Supervised Learning of Semantic Classes for Image Annotation and Retrieval. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:3, pp:394-410 [Journal]
  42. Nuno Vasconcelos, Andrew Lippman
    Statistical models of video structure for content analysis and characterization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2000, v:9, n:1, pp:3-19 [Journal]
  43. Nuno Vasconcelos
    On the efficient evaluation of probabilistic similarity functions for image retrieval. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2004, v:50, n:7, pp:1482-1496 [Journal]
  44. Nuno Vasconcelos, Andrew Lippman
    A multiresolution manifold distance for invariant image similarity. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Multimedia, 2005, v:7, n:1, pp:127-142 [Journal]
  45. Nuno Vasconcelos
    Content-Based Image and Video Retrieval. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2005, v:85, n:2, pp:231-232 [Journal]
  46. Antoni B. Chan, Nuno Vasconcelos
    Classifying Video with Kernel Dynamic Textures. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  47. Dashan Gao, Nuno Vasconcelos
    Discriminant Interest Points are Stable. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  48. Sunhyoung Han, Nuno Vasconcelos
    Image Compression using Object-Based Regions of Interest. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:3097-3100 [Conf]
  49. Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet
    Direct convex relaxations of sparse SVM. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:145-153 [Conf]
  50. Hamed Masnadi-Shirazi, Nuno Vasconcelos
    Asymmetric boosting. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:609-619 [Conf]

  51. Background subtraction in highly dynamic scenes. [Citation Graph (, )][DBLP]

  52. Privacy preserving crowd monitoring: Counting people without people models or tracking. [Citation Graph (, )][DBLP]

  53. Scene classification with low-dimensional semantic spaces and weak supervision. [Citation Graph (, )][DBLP]

  54. Variational layered dynamic textures. [Citation Graph (, )][DBLP]

  55. Saliency-based discriminant tracking. [Citation Graph (, )][DBLP]

  56. Holistic context modeling using semantic co-occurrences. [Citation Graph (, )][DBLP]

  57. Object-Based Regions of Interest for Image Compression. [Citation Graph (, )][DBLP]

  58. Bottom-up saliency is a discriminant process. [Citation Graph (, )][DBLP]

  59. High Detection-rate Cascades for Real-Time Object Detection. [Citation Graph (, )][DBLP]

  60. Complex discriminant features for object classification. [Citation Graph (, )][DBLP]

  61. A systematic study of the role of context on image classification. [Citation Graph (, )][DBLP]

  62. Motion vector refinement for FRUC using saliency and segmentation. [Citation Graph (, )][DBLP]

  63. Risk minimization, probability elicitation, and cost-sensitive SVMs. [Citation Graph (, )][DBLP]

  64. Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. [Citation Graph (, )][DBLP]

  65. Image retrieval using query by contextual example. [Citation Graph (, )][DBLP]

  66. The discriminant center-surround hypothesis for bottom-up saliency. [Citation Graph (, )][DBLP]

  67. On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost. [Citation Graph (, )][DBLP]

  68. Bayesian representations and learning mechanisms for content-based image retrieval. [Citation Graph (, )][DBLP]

  69. An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and Discrimination. [Citation Graph (, )][DBLP]

  70. From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval. [Citation Graph (, )][DBLP]

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