메뉴 건너뛰기




Volumn 1, Issue , 2006, Pages 284-291

Large-scale learning with SVM and convolutional nets for generic object categorization

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTIONAL NETWORKS; INVARIANT FEATURES; SUPPORT VECTOR MACHINES (SVM);

EID: 33845597145     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.164     Document Type: Conference Paper
Times cited : (323)

References (36)
  • 2
    • 27144489164 scopus 로고    scopus 로고
    • A Tutorial on Support Vector Machines for Pattern Recognition
    • C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 1998
    • (1998) Data Mining and Knowledge Discovery
    • Burges, C.1
  • 3
    • 35048871098 scopus 로고    scopus 로고
    • Hausdorff kernel for 3D object acquisition and detection
    • A. Barla, F. Odone, and A. Verri. "Hausdorff kernel for 3D object acquisition and detection," ECCV, 2002
    • (2002) ECCV
    • Barla, A.1    Odone, F.2    Verri, A.3
  • 8
    • 33745963422 scopus 로고    scopus 로고
    • Feature hierarchies for object classification
    • Beijing
    • B. Epshtein, S. Ullman, Feature Hierarchies for Object Classification Proc. of ICCV, Beijing, 2005.
    • (2005) Proc. of ICCV
    • Epshtein, B.1    Ullman, S.2
  • 9
    • 0020331278 scopus 로고
    • Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position
    • K. Fukushima, and S. Miyake, Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position Pattern Recognition, 15, pp 455-469, 1982.
    • (1982) Pattern Recognition , vol.15 , pp. 455-469
    • Fukushima, K.1    Miyake, S.2
  • 11
    • 33745855044 scopus 로고    scopus 로고
    • The pyramid match Kernel: Discriminative classification with sets of image features
    • IEEE
    • K. Grauman and T. Darrell. The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. Proc. of ICCV, IEEE, 2005.
    • (2005) Proc. of ICCV
    • Grauman, K.1    Darrell, T.2
  • 13
    • 0000494467 scopus 로고
    • Handwritten digit recognition with a back-propagation network
    • D. Touretzky (ed) Morgan Kaufman
    • Y. LeCun, B. Boser, J. Denker, D. Henderson, R. Howard, W. Hubbard, L Jackel, Handwritten digit recognition with a back-propagation network in D. Touretzky (ed) NIPS, Vol. 2, Morgan Kaufman, 1990.
    • (1990) NIPS , vol.2
    • LeCun, Y.1    Boser, B.2    Denker, J.3    Henderson, D.4    Howard, R.5    Hubbard, W.6    Jackel, L.7
  • 14
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Nov
    • Gradient-Based Learning Applied to Document Recognition Proceedings of the IEEE, Nov 1998.
    • (1998) Proceedings of the IEEE
  • 16
    • 5044231640 scopus 로고    scopus 로고
    • Learning methods for generic object recognition with invariance to pose and lighting
    • Y. LeCun, F.-J. Huang, L. Bottou. Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. Proc. CVPR, 2004.
    • (2004) Proc. CVPR
    • LeCun, Y.1    Huang, F.-J.2    Bottou, L.3
  • 18
    • 0031570069 scopus 로고    scopus 로고
    • SEEMORE:Combining color, shape, and texture histogramming in a neuraly-inspired approach to visual object recognition
    • B. Mel SEEMORE:Combining color, shape, and texture histogramming in a neuraly-inspired approach to visual object recognition. Neural Computation, 9:777-804, 1997.
    • (1997) Neural Computation , vol.9 , pp. 777-804
    • Mel, B.1
  • 19
    • 0029215139 scopus 로고
    • Probabilistic visual learning for object detection
    • IEEE, June
    • B. Moghaddam, A. Pentland. Probabilistic Visual Learning for Object Detection. Proc. of ICCV, IEEE, June 1995.
    • (1995) Proc. of ICCV
    • Moghaddam, B.1    Pentland, A.2
  • 20
    • 0029220876 scopus 로고
    • Visual learning and recognition of 3D objects from appearance
    • H. Murase and S. Nayar. Visual learning and recognition of 3D objects from appearance. Int. J. of Comp. Vision, 14(1):5-24, 1995.
    • (1995) Int. J. of Comp. Vision , vol.14 , Issue.1 , pp. 5-24
    • Murase, H.1    Nayar, S.2
  • 21
    • 0030673582 scopus 로고    scopus 로고
    • Training support vector machines: An application to face detection
    • Puerto Rico. IEEE
    • E. Osuna, R. Freund , F. Girosi. Training Support Vector Machines: an Application to Face Detection. Proc. of CVPR, Puerto Rico. IEEE, 1997.
    • (1997) Proc. of CVPR
    • Osuna, E.1    Freund, R.2    Girosi, F.3
  • 22
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • MIT Press
    • J. Platt Fast Training of Support Vector Machines using Sequential Minimal Optimization. Advances in kernel methods: support vector learning. MIT Press, 1999.
    • (1999) Advances in Kernel Methods: Support Vector Learning
    • Platt, J.1
  • 26
    • 0042441074 scopus 로고    scopus 로고
    • Analyzing appearance and contour based methods for object categorization
    • IEEE
    • B. Leibe, and B. Schiele. "Analyzing Appearance and Contour Based Methods for Object Categorization.", Proc. of CVPR, IEEE, 2003.
    • (2003) Proc. of CVPR
    • Leibe, B.1    Schiele, B.2
  • 27
    • 0031139628 scopus 로고    scopus 로고
    • Local grayvalue invariants for image retrieval
    • May
    • C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. IEEE Trans. Patt. Anal. Mach. Intell., 19(5):530-535, May 1997.
    • (1997) IEEE Trans. Patt. Anal. Mach. Intell. , vol.19 , Issue.5 , pp. 530-535
    • Schmid, C.1    Mohr, R.2
  • 28
    • 0033682228 scopus 로고    scopus 로고
    • A statistical method for 3d object detection applied to faces and cars
    • IEEE
    • H. Schneiderman and T. Kanade. A statistical method for 3d object detection applied to faces and cars. In Proc. of CVPR, IEEE, 2000.
    • (2000) Proc. of CVPR
    • Schneiderman, H.1    Kanade, T.2
  • 29
    • 24644511277 scopus 로고    scopus 로고
    • Object recognition with features inspired by visual cortex
    • IEEE
    • T. L. Serre, L. Wolf and T. Poggio. Object Recognition with Features Inspired by Visual Cortex. Proc. of CVPR, IEEE, 2005.
    • (2005) Proc. of CVPR
    • Serre, T.L.1    Wolf, L.2    Poggio, T.3
  • 30
    • 0035683445 scopus 로고    scopus 로고
    • Appearance-based object recognition using multiple views
    • IEEE
    • A. Selinger, R. Nelson. "Appearance-Based Object Recognition Using Multiple Views," Proc. of CVPR, IEEE, 2001.
    • (2001) Proc. of CVPR
    • Selinger, A.1    Nelson, R.2
  • 31
    • 0036307392 scopus 로고    scopus 로고
    • Visual features of intermediate complexity and their use in classification
    • S. Ullman, M. Vidal-Naquet, and E. Sali. "Visual features of intermediate complexity and their use in classification", Nature Neuroscience, 5(7), 2002.
    • (2002) Nature Neuroscience , vol.5 , Issue.7
    • Ullman, S.1    Vidal-Naquet, M.2    Sali, E.3
  • 34
    • 0035680116 scopus 로고    scopus 로고
    • Rapid object detection using a boosted cascade of simple features
    • IEEE
    • P. Viola, M. Jones. Rapid Object Detection using a Boosted Cascade of Simple Features. Proc. of CVPR, IEEE, 2001.
    • (2001) Proc. of CVPR
    • Viola, P.1    Jones, M.2
  • 35
    • 0345414121 scopus 로고    scopus 로고
    • Recognition with local features: The Kernel recipe
    • IEEE
    • C. Wallraven, B. Caputo, A. Graf, "Recognition with Local Features: the Kernel Recipe," Proc. of ICCV, IEEE, 2003
    • (2003) Proc. of ICCV
    • Wallraven, C.1    Caputo, B.2    Graf, A.3
  • 36
    • 0033698725 scopus 로고    scopus 로고
    • Towards automatic discovery of object categories
    • IEEE
    • M. Weber, M. Welling, and P. Perona. Towards automatic discovery of object categories. In Proc. of CVPR, IEEE 2000.
    • (2000) Proc. of CVPR
    • Weber, M.1    Welling, M.2    Perona, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.