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ICDM
2008
IEEE
160views Data Mining» more  ICDM 2008»
16 years 28 days ago
Direct Zero-Norm Optimization for Feature Selection
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
Kaizhu Huang, Irwin King, Michael R. Lyu
ICPR
2008
IEEE
16 years 28 days ago
Adaptive selection of non-target cluster centers for K-means tracker
Hua et al. have proposed a stable and efficient tracking algorithm called “K-means tracker”[2, 3, 5]. This paper describes an adaptive non-target cluster center selection met...
Hiroshi Oike, Haiyuan Wu, Toshikazu Wada
SSDBM
2008
IEEE
113views Database» more  SSDBM 2008»
16 years 26 days ago
Query Selectivity Estimation for Uncertain Data
Applications requiring the handling of uncertain data have led to the development of database management systems extending the scope of relational databases to include uncertain (p...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...
GLOBECOM
2007
IEEE
16 years 25 days ago
Multicode STBC in Frequency Selective Fading
—Multicode operation in space-time block coded (STBC) multiple input multiple output (MIMO) systems can provide additional degrees of freedom in code domain to achieve high data ...
Saif K. Mohammed, Ananthanarayanan Chockalingam
ICASSP
2007
IEEE
16 years 24 days ago
Feature Selection Based on Fisher Ratio and Mutual Information Analyses for Robust Brain Computer Interface
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
Tran Huy Dat, Cuntai Guan