A novel approach for efficient SVM classification with histogram intersection kernel

BMVC 2013 - Electronic Proceedings of the British Machine Vision Conference 2013

Volumn , Issue , 2013, Pages

  Sharma, Gaurav ^a,b   Jurie, Frederic ^a  

^a UNIVERSITÉ DE CAEN   (France)

^b Technicolor ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GRAPHIC METHODS; LEARNING SYSTEMS;

BETTER PERFORMANCE; DECISION FUNCTIONS; HIGH DIMENSIONAL SPACES; HISTOGRAM INTERSECTION KERNELS; ITERATIVE ALGORITHM; NONLINEAR PROBLEMS; SVM CLASSIFICATION; TESTING COMPLEXITY;

COMPUTER VISION;

EID: 84898472325     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.27.10     Document Type: Conference Paper

References (21)

1. G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray. Visual categorization with bags of keypoints. In Intl. Workshop on Stat. Learning in Comp. Vision, 2004.
2. Navneet Dalal and Bill Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
3. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results. http://www.pascalnetwork.org/challenges/VOC/voc2007/workshop/index.html, 2007.
4. Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9:1871-1874, 2008.
5. Pedro Felzenszwalb, Ross Girshick, David McAllester, and Dave Ramanan. Object detection with discriminatively trained part based models. PAMI, 32(9):1627-1645, 2010.
6. K. Grauman and T. Darrell. The pyramid match kernel: Efficient learning with sets of features. Journal of Machine Learning Research, 8:725-760, 2007.
7. Hedi Harzallah, Frédéric Jurie, and Cordelia Schmid. Combining efficient object localization and image classification. In ICCV, 2009.
8. J. Krapac, J. Verbeek, and F. Jurie. Modeling spatial layout with Fisher vectors for image categorization. In ICCV, 2011.
9. Svetlana Lazebnik, Cordelia Schmid, and Jean Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006.
10. David Lowe. Distinctive image features form scale-invariant keypoints. Intl. Journal of Computer Vision, 60(2):91-110, 2004.
11. Subhransu Maji and Alexander C Berg. Max-margin additive classifiers for detection. In ICCV, 2009.
12. Subhransu Maji, Alexander C Berg, and Jitendra Malik. Classification using intersection kernel support vector machines is efficient. In CVPR, 2008.
13. Florent Perronnin, Zeynep Akata, Zaid Harchaoui, and Cordelia Schmid. Towards good practice in large-scale learning for image classification. In CVPR, 2012.
14. M. Schmidt, G. Fung, and R. Rosales. Fast optimization methods for L1 regularization: A comparative study and two new approaches. In ECML, 2007.
15. B. Scholkopf and A. J. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA, 2001. ISBN 0262194759.
16. G. Sharma, F. Jurie, and C. Schmid. Discriminative spatial saliency for image classification. In CVPR, 2012.
17. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In ICCV, 2003.
18. Michael J Swain and Dana H Ballard. Color indexing. International journal of computer vision, 7(1):11-32, 1991.
19. A. Vedaldi and B. Fulkerson. VLFeat: An open and portable library of computer vision algorithms. http://www.vlfeat.org/, 2008.
20. A. Vedaldi and A. Zisserman. Efficient additive kernels using explicit feature maps. In CVPR, 2010.
21. A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman. Multiple kernels for object detection. In ICCV, 2009.