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» Class Separability in Spaces Reduced By Feature Selection
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IROS
2007
IEEE
134views Robotics» more  IROS 2007»
14 years 2 months ago
Feature selection for grasp recognition from optical markers
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchel...
MLDM
2007
Springer
14 years 2 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
GRC
2010
IEEE
13 years 6 months ago
A Comparative Study of Threshold-Based Feature Selection Techniques
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hu...
ACL
1998
13 years 10 months ago
Part of Speech Tagging Using a Network of Linear Separators
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...
Dan Roth, Dmitry Zelenko
VTC
2008
IEEE
139views Communications» more  VTC 2008»
14 years 3 months ago
Downlink Steered Space-Time Spreading For Multi-Carrier Transmission Over Frequency Selective Channels
— This paper presents a novel amalgam of Steered Space-Time Spreading (SSTS) and Orthogonal Frequency Division Multiple Access (OFDMA) designed for attaining both spatial diversi...
Nazar Sahal, Mohammed El-Hajjar, Lajos Hanzo