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AAAI
2008
13 years 10 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
CVPR
2005
IEEE
14 years 9 months ago
A Sparse Support Vector Machine Approach to Region-Based Image Categorization
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
Jinbo Bi, Yixin Chen, James Ze Wang
MIR
2006
ACM
141views Multimedia» more  MIR 2006»
14 years 1 months ago
Mining temporal patterns of movement for video content classification
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...
Michael Fleischman, Philip DeCamp, Deb Roy