新規登録 | ログイン | FAQ      [?] 
Recent | Recommended | Search | Authors | Tags | Export

Group: automatic_summarization - with tag object-categorization [21 articles]

グループ automatic_summarization のメンバーが最近追加した論文の一覧 with tag object-categorization
  • Learning Visual Similarity Measures for Comparing Never Seen Objects
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8.
    by Eric Nowak, Frederic Jurie
  • Proximity Distribution Kernels for Geometric Context in Category Recognition
    (October 2007)
    by Haibin Ling, Stefano Soato
  • Learning to Locate Informative Features for Visual Identification
    International Journal of Computer Vision (2006)
    by Andras Ferencz, Erik Learned-Miller, Jitendra Malik
  • Discriminative Training of Hyper-feature Models for Object Identification
    (2006)
    by Vidit Jain, Andras Ferencz, Erik Learned-Miller
  • Learning Hyper-Features for Visual Identification
    Vol. 18 (2004)
    by Andras Ferencz, Erik Learned-Miller, Jitendra Malik
  • Building a classification cascade for visual identification from one example
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 286-293 Vol. 1.
  • Hyperfeatures - Multilevel Local Coding for Visual Recognition
    (2006)
    by Ankur Agarwal, William Triggs
  • Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
    (2006)
    by BC Russell, AA Efros, J Sivic, WT Freeman, A Zisserman
  • Pictorial Structures for Object Recognition
    International Journal of Computer Vision, Vol. V61, No. 1. (1 January 2005), pp. 55-79.
    by Pedro F Felzenszwalb, Daniel P Huttenlocher
  • Unbalanced region matching based on two-level description for image retrieval
    Pattern Recognition Letters, Vol. 26, No. 5. (April 2005), pp. 565-580.
    by Sheng-Yang Dai, Yu-Jin Zhang
  • Object class recognition by unsupervised scale-invariant learning
    Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, Vol. 2 (2003), pp. II-264-II-271 vol.2.
  • Learning Saliency Maps for Object Categorization
    (2006)
    by Frank Moosmann, Diane Larlus, Frederic Jurie
  • Object modeling and recognition using local affine-invariant image descriptors and multi-view spatial contraints
    International Journal of Computer Vision, Vol. 66, No. 3. (2006)
    by F Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
  • Shape matching and object recognition using low distortion correspondences
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, Vol. 1 (2005), pp. 26-33 vol. 1.
    by AC Berg, TL Berg, J Malik
  • Local Features for Object Class Recognition
    (2005), pp. 1792-1799.
    by Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
  • Multiclass Object Recognition with Sparse, Localized Features
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 1 (2006), pp. 11-18.
    by J Mutch, DG Lowe
  • Spatial weighting for bag-of-features
    (2006)
    by Marcin Marszałek, Cordelia Schmid
  • Object categorization by learned universal visual dictionary
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 2 (2005), pp. 1800-1807 Vol. 2.
    by J Winn, A Criminisi, T Minka
  • LOCUS: learning object classes with unsupervised segmentation
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 756-763 Vol. 1.
    by J Winn, N Jojic
  • SURF: Speeded-Up Robust Features
    by Herbert Bay, Tinne Tuytelaars, Luc Van Gool
  • Scalable Recognition with a Vocabulary Tree
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 2 (2006), pp. 2161-2168.
  • 注: このページを引用する時は次のURLでどうぞ: http://www.citeulike.org/group/114/tag/object-categorization

    RIS BibTeX RSS
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.