메뉴 건너뛰기




Volumn , Issue , 2009, Pages 2836-2843

Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER VISION; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; LEARNING SYSTEMS; OBJECT RECOGNITION; PIPELINE PROCESSING SYSTEMS; PIPELINES;

EID: 70450161376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206592     Document Type: Conference Paper
Times cited : (40)

References (18)
  • 2
    • 14344252374 scopus 로고    scopus 로고
    • Multiple kernel learning, conic duality, and the SMO algorithm
    • F. R. Bach, G. R. G. Lanckriet, and M. I. Jordan. Multiple kernel learning, conic duality, and the SMO algorithm. In ICML, 2004.
    • (2004) ICML
    • Bach, F.R.1    Lanckriet, G.R.G.2    Jordan, M.I.3
  • 5
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • IEEE
    • L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories. In CVPRW. IEEE, 2004.
    • (2004) CVPRW
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 7
    • 0027657329 scopus 로고
    • Semi-infinite programming: Theory, methods, and applications
    • R. Hettich and K. O. Kortanek. Semi-infinite programming: theory, methods, and applications. SIAM Rev., 35(3):380-429, 1993.
    • (1993) SIAM Rev. , vol.35 , Issue.3 , pp. 380-429
    • Hettich, R.1    Kortanek, K.O.2
  • 8
    • 5044233274 scopus 로고    scopus 로고
    • PCA-SIFT: A more distinctive representation for local image descriptors
    • Y. Ke and R. Sukthankar. PCA-SIFT: a more distinctive representation for local image descriptors. In CVPR, 2004.
    • (2004) CVPR
    • Ke, Y.1    Sukthankar, R.2
  • 10
    • 54249083084 scopus 로고    scopus 로고
    • Beyond sliding windows: Object localization by efficient subwindow search
    • C. H. Lampert, M. B. Blaschko, and T. Hofmann. Beyond sliding windows: Object localization by efficient subwindow search. In IEEE CVPR, 2008.
    • (2008) IEEE CVPR
    • Lampert, C.H.1    Blaschko, M.B.2    Hofmann, T.3
  • 11
    • 56749130769 scopus 로고    scopus 로고
    • Learning nearest-neighbor quantizers from labeled data by information loss minimization
    • S. Lazebnik and M. Raginsky. Learning nearest-neighbor quantizers from labeled data by information loss minimization. In AISTATS, 2007.
    • (2007) AISTATS
    • Lazebnik, S.1    Raginsky, M.2
  • 12
    • 36848999243 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In IEEE CVPR, 2006.
    • (2006) IEEE CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 13
    • 33745155436 scopus 로고    scopus 로고
    • A bayesian hierarchical model for learning natural scene categories
    • F.-F. Li and P. Perona. A bayesian hierarchical model for learning natural scene categories. In CVPR, 2005.
    • (2005) CVPR
    • Li, F.-F.1    Perona, P.2
  • 14
    • 33846249191 scopus 로고    scopus 로고
    • Sampling strategies for bag-of-features image classification
    • E. Nowak, F. Jurie, and B. Triggs. Sampling strategies for bag-of-features image classification. In ECCV, 2006.
    • (2006) ECCV
    • Nowak, E.1    Jurie, F.2    Triggs, B.3
  • 18
    • 50649115912 scopus 로고    scopus 로고
    • Learning the discriminative powerinvariance trade-off
    • M. Varma and D. Ray. Learning the discriminative powerinvariance trade-off. In ICCV, 2007.
    • (2007) ICCV
    • Varma, M.1    Ray, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.