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CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 6 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
IGARSS
2009
15 years 4 months ago
A Novel STAP Algorithm using Sparse Recovery Technique
A novel STAP algorithm based on sparse recovery technique, called CS-STAP, were presented. Instead of using conventional maximum likelihood estimation of covariance matrix, our met...
Ke Sun, Hao Zhang, Gang Li, Huadong Meng, Xiqin Wa...
ICASSP
2011
IEEE
14 years 10 months ago
Operational performances of a MUSIC algorithm robust to outliers
In operational systems (Radar, communication, sonar,..), for practical considerations the MUSIC pseudo spectrum optimization must be conducted after removing the outliers. When th...
Anne Ferréol, Pascal Larzabal
DMIN
2007
90views Data Mining» more  DMIN 2007»
15 years 7 months ago
On Minimal Infrequent Itemset Mining
—A new algorithm for minimal infrequent itemset mining is presented. Potential applications of finding infrequent itemsets include statistical disclosure risk assessment, bioinf...
David J. Haglin, Anna M. Manning
166
Voted
ICASSP
2008
IEEE
16 years 25 days ago
A nonparametric minimum entropy image deblurring algorithm
In this paper we address the image restoration problem in the variational framework. Classical approaches minimize the Lp norm of the residual and rely on parametric assumptions o...
Cesario Vincenzo Angelino, Eric Debreuve, Michel B...