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ECAI
2004
Springer
15 years 8 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
VTC
2007
IEEE
105views Communications» more  VTC 2007»
15 years 9 months ago
Adaptive Amplify-and-Forward Cooperative Diversity using Phase Feedback
— Cooperative diversity obtains the spatial diversity gains created by sharing antennas of terminals in wireless networks. In this paper, adaptive amplify-and-forward (AF) cooper...
Dongwoo Lee, Jae Hong Lee
ICML
1997
IEEE
15 years 7 months ago
A Comparative Study on Feature Selection in Text Categorization
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
Yiming Yang, Jan O. Pedersen
FGR
2006
IEEE
297views Biometrics» more  FGR 2006»
15 years 9 months ago
Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active Learning
Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the ...
Junwei Han, George Awad, Alistair Sutherland, Hai ...
COLING
2008
15 years 4 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee