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ICASSP
2008
IEEE
14 years 2 months ago
Blind channel estimation in DS-CDMA systems with unknown wide-sense stationary noise using generalized correlation decomposition
A novel blind subspace-based channel estimation technique is developed for direct-sequence code division multiple-access (DS-CDMA) systems operating in unknown wide-sense stationa...
Keyvan Zarifi, Alex B. Gershman
KDD
2003
ACM
160views Data Mining» more  KDD 2003»
14 years 8 months ago
Playing hide-and-seek with correlations
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Chris Jermaine
SIGMOD
1997
ACM
148views Database» more  SIGMOD 1997»
13 years 12 months ago
Beyond Market Baskets: Generalizing Association Rules to Correlations
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
Sergey Brin, Rajeev Motwani, Craig Silverstein
ICPR
2004
IEEE
14 years 8 months ago
Learning Sample Subspace with Application to Face Detection
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
Guoping Qiu, Jianzhong Fang
ICA
2007
Springer
13 years 9 months ago
Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
Libo Ma, Liqing Zhang