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» Choosing Multiple Parameters for Support Vector Machines
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IJCNN
2006
IEEE
14 years 1 months ago
Semi-Supervised Model Selection Based on Cross-Validation
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
Matti Kaariainen
ICASSP
2010
IEEE
13 years 8 months ago
An adaptive real-time descreening method based on SVM and improved SUSAN filter
Scanned halftone images are degraded for the presence of screen patterns. It’s a challenge to automatically detect the halftone images and remove the noises on the fly. This pap...
Xiaohua Duan, Guifeng Zheng, Hongyang Chao
ICPR
2010
IEEE
13 years 6 months ago
Human Action Recognition Using Segmented Skeletal Features
We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs. Our propos...
Sang Min Yoon, Arjan Kuijper
AMFG
2003
IEEE
157views Biometrics» more  AMFG 2003»
14 years 1 months ago
Inference of Human Postures by Classification of 3D Human Body Shape
In this paper we describe an approach for inferring the body posture using a 3D visual-hull constructed from a set of silhouettes. We introduce an appearance-based, view-independe...
Isaac Cohen, Hongxia Li
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
13 years 9 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...