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JMLR
2010
104views more  JMLR 2010»
14 years 4 months ago
Increasing Feature Selection Accuracy for L1 Regularized Linear Models
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic
ICIP
2010
IEEE
14 years 7 months ago
Robust object detection scheme using feature selection
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Hong Pan, Liang-Zheng Xia, Truong Q. Nguyen
JMM2
2007
127views more  JMM2 2007»
14 years 9 months ago
The Cut Detection Issue in the Animation Movie Domain
— In this paper we are proposing an improved cut detection algorithm adapted to the animation movies domain. A cut is the direct concatenation of two different shots and produces...
Bogdan Ionescu, Patrick Lambert, Didier Coquin, Va...
JMM2
2008
157views more  JMM2 2008»
14 years 9 months ago
Multiresolution Feature Based Fractional Power Polynomial Kernel Fisher Discriminant Model for Face Recognition
This paper presents a technique for face recognition which uses wavelet transform to derive desirable facial features. Three level decompositions are used to form the pyramidal mul...
Dattatray V. Jadhav, Jayant V. Kulkarni, Raghunath...
IPMI
2003
Springer
15 years 10 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...