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» Margin based feature selection - theory and algorithms
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ICML
2009
IEEE
14 years 8 months ago
More generality in efficient multiple kernel learning
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
Manik Varma, Bodla Rakesh Babu
ICEBE
2007
IEEE
182views Business» more  ICEBE 2007»
14 years 2 months ago
Service-Oriented Business Process Modeling and Performance Evaluation based on AHP and Simulation
With the evolution of Grid technologies and the application of Service-Oriented Architecture (SOA), more and more enterprises are integrated and collaborated with each other in a ...
Sen Zeng, Shuangxi Huang, Yushun Fan
ISCAS
2006
IEEE
129views Hardware» more  ISCAS 2006»
14 years 1 months ago
JPEG2000 for digital cinema
JPEG2000 is the latest international standard for image compression. It combines state of the art image compression performance with a rich feature set. JPEG2000 codestreams are h...
Ali Bilgin, Michael W. Marcellin
IJCV
2006
206views more  IJCV 2006»
13 years 7 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
ICPR
2010
IEEE
14 years 2 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel