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» Data Separation by Sparse Representations
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ICASSP
2011
IEEE
13 years 21 days ago
Soft frame margin estimation of Gaussian Mixture Models for speaker recognition with sparse training data
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
Yan Yin, Qi Li
BALT
2006
14 years 21 days ago
A Multiple Correspondence Analysis to Organize Data Cubes
Abstract. On Line Analytical Processing (OLAP) is a technology basically created to provide users with tools in order to explore and navigate into data cubes. Unfortunately, in hug...
Riadh Ben Messaoud, Omar Boussaid, Sabine Loudcher...
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
14 years 9 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
IJHPCA
2010
84views more  IJHPCA 2010»
13 years 7 months ago
Operation Stacking for Ensemble Computations With Variable Convergence
Sparse matrix operations achieve only small fractions of peak CPU speeds because of the use of specialized, indexbased matrix representations, which degrade cache utilization by i...
Mehmet Belgin, Godmar Back, Calvin J. Ribbens
ICRA
2009
IEEE
150views Robotics» more  ICRA 2009»
14 years 3 months ago
Flow separation for fast and robust stereo odometry
— Separating sparse flow provides fast and robust stereo visual odometry that deals with nearly degenerate situations that often arise in practical applications. We make use of ...
Michael Kaess, Kai Ni, Frank Dellaert