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Volumn , Issue , 2011, Pages 2431-2438

The power of comparative reasoning

Author keywords

[No Author keywords available]

Indexed keywords

BINARY FEATURES; COMPLEX OPTIMIZATION; DATA-DRIVEN OPTIMIZATION; EFFICIENT COMPUTATION; EMBEDDINGS; EVALUATION METRICS; FEATURE SPACE; HASH ALGORITHM; HIGHLY NONLINEAR; INPUT FEATURES; LARGE CLASS; LINEAR CLASSIFIERS; LINES OF CODE; MACHINE LEARNING METHODS; NON-LINEAR TRANSFORMATIONS; NUMERIC VALUES; ORDINAL EMBEDDINGS; ORDINAL MEASURE; PARTIAL ORDER; POLYNOMIAL KERNELS; RANK CORRELATION; SIMILARITY SEARCH; STATE-OF-THE-ART MACHINE LEARNING METHODS;

EID: 84856682730     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126527     Document Type: Conference Paper
Times cited : (128)

References (30)
  • 1
    • 85086683296 scopus 로고    scopus 로고
    • Ordinal measures for visual correspondence
    • 2
    • D. Bhat, S. Nayar. Ordinal Measures for Visual Correspondence. In CVPR'96. 2
    • CVPR'96
    • Bhat, D.1    Nayar, S.2
  • 7
    • 34948862825 scopus 로고    scopus 로고
    • Fast keypoint recognition in ten lines of code
    • 2
    • M. Ozuysal, P. Fua, V. Lepetit. Fast Keypoint Recognition in Ten Lines of Code. In CVPR'07. 2
    • CVPR'07
    • Ozuysal, M.1    Fua, P.2    Lepetit, V.3
  • 8
    • 85088005503 scopus 로고    scopus 로고
    • Combinatorial algorithms for nearest neighbors, near-duplicates and small world design
    • 2, 5
    • Y. Lifshits, S. Zhang. Combinatorial Algorithms for Nearest Neighbors, Near-Duplicates and Small World Design. In SODA'09. 2, 5
    • SODA'09
    • Lifshits, Y.1    Zhang, S.2
  • 9
    • 84856652214 scopus 로고    scopus 로고
    • Approximate nearest neighbor search through comparisons
    • 2, 3, 5
    • D. Tschopp, S. Diggavi. Approximate nearest neighbor search through comparisons. In ArXiv preprint'09. 2, 3, 5
    • ArXiv Preprint'09
    • Tschopp, D.1    Diggavi, S.2
  • 10
    • 65449117321 scopus 로고    scopus 로고
    • Locality sensitive hash functions based on concomitant rank order statistics
    • 2
    • K. Eshghi and S. Rajaram. Locality sensitive hash functions based on concomitant rank order statistics. In SIGKDD'08. 2
    • SIGKDD'08
    • Eshghi, K.1    Rajaram, S.2
  • 11
    • 0031346696 scopus 로고    scopus 로고
    • On the resemblance and containment of documents
    • 2, 3, 5
    • A. Broder. On the resemblance and containment of documents. In SEQUENCES'97. 2, 3, 5
    • SEQUENCES'97
    • Broder, A.1
  • 13
    • 33748436837 scopus 로고    scopus 로고
    • Boosting sex identification performance
    • 2
    • S. Baluja, H. Rowley. Boosting Sex Identification Performance. In IJCV'07. 2
    • IJCV'07
    • Baluja, S.1    Rowley, H.2
  • 15
    • 84856652216 scopus 로고    scopus 로고
    • Robust real time pattern matching using bayesian sequential hypothesis testing
    • 2
    • O. Pele, M. Werman. Robust real time pattern matching using bayesian sequential hypothesis testing. In PAMI'08. 2
    • PAMI'08
    • Pele, O.1    Werman, M.2
  • 16
    • 0001638495 scopus 로고    scopus 로고
    • Non-parametric local transforms for computing visual correspondence
    • 2
    • R. Zabih, J. Woodfill. Non-parametric local transforms for computing visual correspondence. In ECCV'94. 2
    • ECCV'94
    • Zabih, R.1    Woodfill, J.2
  • 17
    • 84856663624 scopus 로고    scopus 로고
    • Keypoint recognition using randomized trees
    • 2
    • V. Lepetit. Keypoint recognition using randomized trees. In PAMI'06. 2
    • PAMI'06
    • Lepetit, V.1
  • 18
    • 0031644241 scopus 로고    scopus 로고
    • Approximate nearest neighbors: Towards removing the curse of dimensionality
    • 3
    • P. Indyk, R. Motwani. Approximate nearest neighbors: towards removing the curse of dimensionality. In STOC'98. 3
    • STOC'98
    • Indyk, P.1    Motwani, R.2
  • 20
    • 77955987829 scopus 로고    scopus 로고
    • SPEC hashing: Similarity preserving algorithm for entropy-based coding
    • 1, 6
    • R. Lin, D. Ross, J. Yagnik. SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding. In CVPR'10. 1, 6
    • CVPR'10
    • Lin, R.1    Ross, D.2    Yagnik, J.3
  • 21
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • 1, 6
    • D. Lowe. Object recognition from local scale-invariant features. In IJCV'99. 1, 6
    • IJCV'99
    • Lowe, D.1
  • 22
    • 34247613651 scopus 로고    scopus 로고
    • Large-scale duplicate detection for web image search
    • 6
    • B. Wang, Z. Li, M. Li, W.Y. Ma. Large-scale duplicate detection for web image search. In ICME'06 6
    • ICME'06
    • Wang, B.1    Li, Z.2    Li, M.3    Ma, W.Y.4
  • 25
    • 33845592987 scopus 로고    scopus 로고
    • Scalable recognition with a vocabulary tree
    • 7
    • D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In CVPR'06. 7
    • CVPR'06
    • Nister, D.1    Stewenius, H.2
  • 26
    • 51949119638 scopus 로고    scopus 로고
    • A fast local descriptor for dense matching
    • 1,6, 7
    • E. Tola, V. Lepetit, P. Fua. A fast local descriptor for dense matching. CVPR'08. 1, 6, 7
    • CVPR'08
    • Tola, E.1    Lepetit, V.2    Fua, P.3
  • 27
    • 77949875753 scopus 로고    scopus 로고
    • Daisy: An efficient dense descriptor applied to wide baseline stereo
    • 1, 6, 7
    • E. Tola, V. Lepetit, P. Fua. Daisy: an Efficient Dense Descriptor Applied to Wide Baseline Stereo. In PAMI'10. 1, 6, 7
    • PAMI'10
    • Tola, E.1    Lepetit, V.2    Fua, P.3
  • 29
    • 77956519569 scopus 로고    scopus 로고
    • Nonlinear learning using local coordinate coding
    • 7
    • K. Yu, T. Zhang, Y. Gong. Nonlinear Learning using Local Coordinate Coding. In NIPS'09. 7
    • NIPS'09
    • Yu, K.1    Zhang, T.2    Gong, Y.3
  • 30
    • 33846580425 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: A comprehensive study
    • 2, 7
    • J. Zhang, M.Marszalek, S. Lazebnik, and C. Schmid. Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. In IJCV'07. 2, 7
    • IJCV'07
    • Zhang, J.1    Marszalek, M.2    Lazebnik, S.3    Schmid, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.