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ICASSP
2011
IEEE
14 years 10 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
DATE
2009
IEEE
167views Hardware» more  DATE 2009»
16 years 1 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
BIOID
2008
157views Biometrics» more  BIOID 2008»
15 years 8 months ago
Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction
Abstract. Gabor filters have demonstrated their effectiveness in automatic face recognition. However, one drawback of Gabor-based face representations is the huge amount of data th...
Daniel González-Jiménez, José...
BMCBI
2008
151views more  BMCBI 2008»
15 years 6 months ago
Application of the Linux cluster for exhaustive window haplotype analysis using the FBAT and Unphased programs
Background: Genetic association studies have been used to map disease-causing genes. A newly introduced statistical method, called exhaustive haplotype association study, analyzes...
Hiroyuki Mishima, Andrew C. Lidral, Jun Ni
JMLR
2010
124views more  JMLR 2010»
15 years 1 months ago
Consistent Nonparametric Tests of Independence
Three simple and explicit procedures for testing the independence of two multi-dimensional random variables are described. Two of the associated test statistics (L1, log-likelihoo...
Arthur Gretton, László Györfi