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» Generalized Discriminant Analysis Using a Kernel Approach
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ICASSP
2009
IEEE
14 years 3 months ago
A regularized kernel-based approach to unsupervised audio segmentation
We introduce a regularized kernel-based rule for unsupervised change detection based on a simpler version of the recently proposed kernel Fisher discriminant ratio. Compared to ot...
Zaïd Harchaoui, Felicien Vallet, Alexandre Lu...
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 9 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
CGO
2007
IEEE
14 years 3 months ago
Loop Optimization using Hierarchical Compilation and Kernel Decomposition
The increasing complexity of hardware features for recent processors makes high performance code generation very challenging. In particular, several optimization targets have to b...
Denis Barthou, Sébastien Donadio, Patrick C...
BMCBI
2008
135views more  BMCBI 2008»
13 years 9 months ago
Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
Background: Normalization is essential in dual-labelled microarray data analysis to remove nonbiological variations and systematic biases. Many normalization methods have been use...
Huiling Xiong, Dapeng Zhang, Christopher J. Martyn...
JMLR
2010
152views more  JMLR 2010»
13 years 3 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...