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» Kernel methods and the exponential family
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ISBI
2009
IEEE
14 years 2 months ago
Direct Adaptive Algorithms for CT Reconstruction
This work concerns with linear and spatially-adaptive direct reconstruction algorithms for 2-D parallel-beam transmission tomography, extending the Filtered Back-Projection (FBP)....
Joseph Shtok, Michael Elad, Michael Zibulevsky
ICML
2010
IEEE
13 years 8 months ago
Multi-Class Pegasos on a Budget
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
Zhuang Wang, Koby Crammer, Slobodan Vucetic
BMCBI
2005
97views more  BMCBI 2005»
13 years 7 months ago
Clustering the annotation space of proteins
Background: Current protein clustering methods rely on either sequence or functional similarities between proteins, thereby limiting inferences to one of these areas. Results: Her...
Victor Kunin, Christos A. Ouzounis
ICASSP
2008
IEEE
14 years 1 months ago
Maximum entropy relaxation for multiscale graphical model selection
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ICASSP
2010
IEEE
13 years 7 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock