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Volumn , Issue , 2008, Pages

Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SOFTWARE; COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGING SYSTEMS; IMAGING TECHNIQUES; INDUSTRIAL ECONOMICS; INFORMATION SERVICES; PATTERN RECOGNITION; SEARCH ENGINES;

EID: 51949096901     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587632     Document Type: Conference Paper
Times cited : (125)

References (28)
  • 1
    • 85141266799 scopus 로고    scopus 로고
    • Support Vector Machines for Multiple-Instance Learning
    • S. Andrews, I. Tsochantaridis, and T. Hofmann. Support Vector Machines for Multiple-Instance Learning. In NIPS, 2002.
    • (2002) NIPS
    • Andrews, S.1    Tsochantaridis, I.2    Hofmann, T.3
  • 2
    • 33745139169 scopus 로고    scopus 로고
    • Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
    • E. Bart and S. Ullman. Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. In CVPR, 2005.
    • (2005) CVPR
    • Bart, E.1    Ullman, S.2
  • 4
    • 33845595951 scopus 로고    scopus 로고
    • Animals on the Web
    • T. Berg and D. Forsyth. Animals on the Web. In CVPR, 2006.
    • (2006) CVPR
    • Berg, T.1    Forsyth, D.2
  • 5
    • 52649179384 scopus 로고    scopus 로고
    • Multiple Instance Learning for Sparse Positive Bags
    • R. Bunescu and R. Mooney. Multiple Instance Learning for Sparse Positive Bags. In ICML, 2007.
    • (2007) ICML
    • Bunescu, R.1    Mooney, R.2
  • 6
    • 24644524200 scopus 로고    scopus 로고
    • Visual Categorization with Bags of Keypoints
    • G. Csurka, C. Bray, C. Dance, and L. Fan. Visual Categorization with Bags of Keypoints. In ECCV, 2004.
    • (2004) ECCV
    • Csurka, G.1    Bray, C.2    Dance, C.3    Fan, L.4
  • 7
    • 0030649484 scopus 로고    scopus 로고
    • Solving the Multiple Instance Problem with Axis-Parallel Rectangles
    • T. Dietterich, R. Lathrop, and T. Lozano-Perez. Solving the Multiple Instance Problem with Axis-Parallel Rectangles. Artificial Intelligence, 89(1-2):31-71, 1997.
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.1    Lathrop, R.2    Lozano-Perez, T.3
  • 8
    • 0038401728 scopus 로고    scopus 로고
    • Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
    • P. Duygulu, K. Barnard, N. de Freitas, and D. Forsyth. Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary. In ECCV, 2002.
    • (2002) ECCV
    • Duygulu, P.1    Barnard, K.2    de Freitas, N.3    Forsyth, D.4
  • 9
    • 51949111344 scopus 로고    scopus 로고
    • M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 07 Results.
    • M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 07 Results.
  • 10
    • 34247612704 scopus 로고    scopus 로고
    • Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Cateories
    • L. Fei-Fei, R. Fergus, and P. Perona. Learning Generative Visual Models from Few Training Examples: an Incremental Bayesian Approach Tested on 101 Object Cateories. In Workshop on Generative Model Based Vision, 2004.
    • (2004) Workshop on Generative Model Based Vision
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 11
    • 33745839880 scopus 로고    scopus 로고
    • Learning Object Categories from Google's Image Search
    • R. Fergus, L. Fei-Fei, P. Perona, and A. Zisserman. Learning Object Categories from Google's Image Search. In ICCV, 2005.
    • (2005) ICCV
    • Fergus, R.1    Fei-Fei, L.2    Perona, P.3    Zisserman, A.4
  • 12
    • 0041940256 scopus 로고    scopus 로고
    • Object Class Recognition by Unsupervised Scale-Invariant Learning
    • R. Fergus, P. Perona, and A. Zisserman. Object Class Recognition by Unsupervised Scale-Invariant Learning. In CVPR, 2003.
    • (2003) CVPR
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 13
    • 24644456520 scopus 로고    scopus 로고
    • A Visual Category Filter for Google Images
    • R. Fergus, P. Perona, and A. Zisserman. A Visual Category Filter for Google Images. In ECCV, 2004.
    • (2004) ECCV
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 15
    • 33845575890 scopus 로고    scopus 로고
    • Unsupervised Learning of Categories from Sets of Partially Matching Image Features
    • K. Grauman and T. Darrell. Unsupervised Learning of Categories from Sets of Partially Matching Image Features. In CVPR, 2006.
    • (2006) CVPR
    • Grauman, K.1    Darrell, T.2
  • 17
    • 34948829141 scopus 로고    scopus 로고
    • Optimol: Automatic Online Picture Collection via Incremental Model Learning
    • L. Li, G. Wang, and L. Fei-Fei. Optimol: Automatic Online Picture Collection via Incremental Model Learning. In CVPR, 2007.
    • (2007) CVPR
    • Li, L.1    Wang, G.2    Fei-Fei, L.3
  • 18
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive Image Features from Scale-Invariant Keypoints
    • D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. IJCV, 60(2), 2004.
    • (2004) IJCV , vol.60 , Issue.2
    • Lowe, D.1
  • 19
    • 0002288190 scopus 로고    scopus 로고
    • Multiple-Instance Learning for Natural Scene Classification
    • O. Maron and A. Ratan. Multiple-Instance Learning for Natural Scene Classification. In ICML, 1998.
    • (1998) ICML
    • Maron, O.1    Ratan, A.2
  • 20
    • 21944442484 scopus 로고    scopus 로고
    • Weak Hypotheses and Boosting for Generic Object Detection and Recognition
    • A. Opelt, A. Fussenegger, and P. Auer. Weak Hypotheses and Boosting for Generic Object Detection and Recognition. In ECCV, 2004.
    • (2004) ECCV
    • Opelt, A.1    Fussenegger, A.2    Auer, P.3
  • 22
    • 31844448950 scopus 로고    scopus 로고
    • Supervised versus Multiple Instance Learning: An Empirical Comparison
    • S. Ray and M. Craven. Supervised versus Multiple Instance Learning: An Empirical Comparison. In ICML, 2005.
    • (2005) ICML
    • Ray, S.1    Craven, M.2
  • 23
    • 33845596932 scopus 로고    scopus 로고
    • Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
    • B. Russell, A. Efros, J. Sivic, W. Freeman, and A. Zisserman. Using Multiple Segmentations to Discover Objects and their Extent in Image Collections. In CVPR, 2006.
    • (2006) CVPR
    • Russell, B.1    Efros, A.2    Sivic, J.3    Freeman, W.4    Zisserman, A.5
  • 25
    • 33845565390 scopus 로고    scopus 로고
    • Discovering Object Categories in Image Collections
    • Beijing, China, October
    • J. Sivic, B. Russell, A. Efros, A. Zisserman, and W. Freeman. Discovering Object Categories in Image Collections. In ICCV, Beijing, China, October 2005.
    • (2005) ICCV
    • Sivic, J.1    Russell, B.2    Efros, A.3    Zisserman, A.4    Freeman, W.5
  • 26
    • 0033884407 scopus 로고    scopus 로고
    • Image Database Retrieval with Multiple-Instance Learning Techniques
    • C. Yang and T. Lozano-Perez. Image Database Retrieval with Multiple-Instance Learning Techniques. In ICDE, 2000.
    • (2000) ICDE
    • Yang, C.1    Lozano-Perez, T.2
  • 27
    • 33750547285 scopus 로고    scopus 로고
    • A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
    • C. Zhang, X. Chen, M. Chen, S. Chen, and M. Shyu. A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine. In ICME, 2005.
    • (2005) ICME
    • Zhang, C.1    Chen, X.2    Chen, M.3    Chen, S.4    Shyu, M.5
  • 28
    • 84898999828 scopus 로고    scopus 로고
    • EM-DD: An Improved Multiple-Instance Learning Technique
    • Q. Zhang and S. Goldman. EM-DD: An Improved Multiple-Instance Learning Technique. In NIPS, 2002.
    • (2002) NIPS
    • Zhang, Q.1    Goldman, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.