메뉴 건너뛰기




Volumn , Issue , 2009, Pages 168-174

A procedure of adaptive kernel combination with kernel-target alignment for object classification

Author keywords

Kernel target alignment; Multiple kernel learning; Object classification

Indexed keywords

ADAPTIVE KERNELS; BRUTE FORCE SEARCH; DATA SETS; FEATURE COMBINATION; IMAGE FEATURES; KERNEL WEIGHT; KERNEL-TARGET ALIGNMENT; LARGE MARGIN CLASSIFIERS; MULTIPLE KERNEL LEARNING; MULTIPLE KERNELS; OBJECT CLASSIFICATION; SIMILARITY MEASURE; SINGLE KERNEL; TWO-STEP APPROACH;

EID: 74049144877     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1646396.1646427     Document Type: Conference Paper
Times cited : (10)

References (23)
  • 2
    • 14344252374 scopus 로고    scopus 로고
    • Multiple kernel learning, conic duality, and the smo algorithm
    • C. E. Brodley and C. E. Brodley, editors, Proceedings of the 21st International Converence on Machine Learning ICML '04, of
    • F. R. Bach, G. R. G. Lanckriet, and M. I. Jordan. Multiple kernel learning, conic duality, and the smo algorithm. In C. E. Brodley and C. E. Brodley, editors, Proceedings of the 21st International Converence on Machine Learning (ICML '04), volume 69 of ACM International Conference Proceeding Series, 2004.
    • (2004) ACM International Conference Proceeding Series , vol.69
    • Bach, F.R.1    Lanckriet, G.R.G.2    Jordan, M.I.3
  • 4
    • 74049107454 scopus 로고    scopus 로고
    • A. Bosch, A. Zisserman, and X. Muñoz. Image classification using ROIs and multiple kernel learning, 2008. submitted to International Journal of Computer Vison.
    • A. Bosch, A. Zisserman, and X. Muñoz. Image classification using ROIs and multiple kernel learning, 2008. submitted to International Journal of Computer Vison.
  • 8
    • 74049164951 scopus 로고    scopus 로고
    • M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2008 (VOC2008) Results. http://www.pascal-network.org/challenges/VOC/ voc2008/workshop/index.html, 2008.
    • M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2008 (VOC2008) Results. http://www.pascal-network.org/challenges/VOC/ voc2008/workshop/index.html, 2008.
  • 11
    • 54249164718 scopus 로고    scopus 로고
    • A multiple kernel learning approach to joint multi-class object detection
    • C. Lampert and M. Blaschko. A multiple kernel learning approach to joint multi-class object detection. In DAGM, pages 31-40, 2008.
    • (2008) DAGM , pp. 31-40
    • Lampert, C.1    Blaschko, M.2
  • 15
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 21
    • 33846580425 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: A comprehensive study
    • J. Zhang, M. Marszalek, S.Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: A comprehensive study. International Journal of Computer Vision, 73(2):213-238, 2007.
    • (2007) International Journal of Computer Vision , vol.73 , Issue.2 , pp. 213-238
    • Zhang, J.1    Marszalek, M.2    Lazebnik, S.3    Schmid, C.4
  • 23
    • 0033670134 scopus 로고    scopus 로고
    • Engineering support vector machine kernels that recognize translation initiation sites
    • A. Zien, G. Ratsch, S. Mika, B. Schölkopf, and T. Lengauer. Engineering support vector machine kernels that recognize translation initiation sites. Bioinformatics, 16:799-807, 2000.
    • (2000) Bioinformatics , vol.16 , pp. 799-807
    • Zien, A.1    Ratsch, G.2    Mika, S.3    Schölkopf, B.4    Lengauer, T.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.