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Volumn I, Issue , 2005, Pages 220-227

Feature hierarchies for object classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; COMPUTER VISION; HIERARCHICAL SYSTEMS; OBJECT RECOGNITION; PARAMETER ESTIMATION;

EID: 33745963422     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2005.98     Document Type: Conference Paper
Times cited : (75)

References (16)
  • 1
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    • Combining class-specific fragments for object classification
    • E. Sali, S. Ullman, "Combining class-specific fragments for object classification". In Proc. 10th British Machine Vision Conference, volume 1, 203-213, 1999
    • (1999) Proc. 10th British Machine Vision Conference , vol.1 , pp. 203-213
    • Sali, E.1    Ullman, S.2
  • 2
    • 12844249589 scopus 로고    scopus 로고
    • Learning to detect objects in images via a sparse, part-based representation
    • S. Agarwal, A. Awan, D. Roth, "Learning to detect objects in images via a sparse, part-based representation". IEEE TPAMI, 26(11):1475-1490, 2004.
    • (2004) IEEE TPAMI , vol.26 , Issue.11 , pp. 1475-1490
    • Agarwal, S.1    Awan, A.2    Roth, D.3
  • 6
    • 9644260534 scopus 로고    scopus 로고
    • Scale & affine invariant point detectors
    • K. Mikolajczyk and C. Schmid, "Scale & affine invariant point detectors", Int. J. Comp. Vis., 60(1), pp. 63-86. 2004.
    • (2004) Int. J. Comp. Vis. , vol.60 , Issue.1 , pp. 63-86
    • Mikolajczyk, K.1    Schmid, C.2
  • 7
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe, "Distinctive image features from scale-invariant keypoints", Int. J. Comp. Vis. 60(2), 91-100, 2004.
    • (2004) Int. J. Comp. Vis. , vol.60 , Issue.2 , pp. 91-100
    • Lowe, D.1
  • 8
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • K. Fukushima, "Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position". Biol. Cyber. 36, 193-202 1980
    • (1980) Biol. Cyber. , vol.36 , pp. 193-202
    • Fukushima, K.1
  • 9
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognition in cortex
    • M. Riesenhuber, T. Poggio, "Hierarchical models of object recognition in cortex", Nat. Neurosci. 2(11), 1019-1025, 1999.
    • (1999) Nat. Neurosci. , vol.2 , Issue.11 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2
  • 11
    • 0036307392 scopus 로고    scopus 로고
    • Visual features of intermediate complexity and their use in classification
    • S. Ullman, M. Vidal-Naquet, E. Sali, "Visual features of intermediate complexity and their use in classification", Nat. Neurosci. 5(7), 1-6, 2002.
    • (2002) Nat. Neurosci. , vol.5 , Issue.7 , pp. 1-6
    • Ullman, S.1    Vidal-Naquet, M.2    Sali, E.3
  • 12
    • 33645690579 scopus 로고    scopus 로고
    • Fast binary feature selection with conditional mutual information
    • F. Fleuret, "Fast Binary Feature Selection with Conditional Mutual Information", Journal of Machine Learning Research, vol. 5, pp. 1531-1555, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1531-1555
    • Fleuret, F.1
  • 16
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • L. Itti, Ch. Kosh, E. Niebur. "A model of saliency-based visual attention for rapid scene analysis", IEEE TPAMI, vol. 20, No. 11, pp. 1254-1259, 1998.
    • (1998) IEEE TPAMI , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Kosh, Ch.2    Niebur, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.