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BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal
BMCBI
2008
123views more  BMCBI 2008»
13 years 7 months ago
Statistical methodology for the analysis of dye-switch microarray experiments
Background: In individually dye-balanced microarray designs, each biological sample is hybridized on two different slides, once with Cy3 and once with Cy5. While this strategy ens...
Tristan Mary-Huard, Julie Aubert, Nadera Mansouri-...
CSL
2006
Springer
13 years 7 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
IVC
2002
143views more  IVC 2002»
13 years 7 months ago
Towards the automatic analysis of complex human body motions
The classification of human body motion is an integral component for the automatic interpretation of video sequences. In a first part we present an effective approach that uses mi...
Jens Rittscher, Andrew Blake, Stephen J. Roberts
CORR
2006
Springer
138views Education» more  CORR 2006»
13 years 7 months ago
Tight Bounds on the Complexity of Recognizing Odd-Ranked Elements
Let S = s1, s2, s3, ..., sn be a given vector of n distinct real numbers. The rank of z R with respect to S is defined as the number of elements si S such that si z. We consider...
Shripad Thite