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» Kernel methods and the exponential family
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ICA
2004
Springer
14 years 1 months ago
Blind Deconvolution Using the Relative Newton Method
We propose a relative optimization framework for quasi maximum likelihood blind deconvolution and the relative Newton method as its particular instance. Special Hessian structure a...
Alexander M. Bronstein, Michael M. Bronstein, Mich...
CIVR
2007
Springer
120views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Kernels on bags for multi-object database retrieval
In this paper, a kernel-based method for multi-object retrieval in large image database is presented. First, our approach exploits a fuzzy region segmentation approach in order to...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
AAAI
2008
13 years 10 months ago
A New Incomplete Method for CSP Inconsistency Checking
Checking CSP consistency is shown, in theory, to be an NP-complete problem. There is two families of methods for CSP consistency checking. The first family holds the complete meth...
Belaid Benhamou, Mohamed Réda Saïdi
NIPS
2001
13 years 9 months ago
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
Roni Khardon, Dan Roth, Rocco A. Servedio
BMCBI
2010
103views more  BMCBI 2010»
13 years 8 months ago
PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship
Background: Post-translational modifications (PTMs) have a key role in regulating cell functions. Consequently, identification of PTM sites has a significant impact on understandi...
Inkyung Jung, Akihisa Matsuyama, Minoru Yoshida, D...