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» On learning with dissimilarity functions
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ESWA
2006
103views more  ESWA 2006»
15 years 6 months ago
Model gene network by semi-fixed Bayesian network
Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, le...
Tie-Fei Liu, Wing-Kin Sung, Ankush Mittal
ML
2002
ACM
127views Machine Learning» more  ML 2002»
15 years 6 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
CVPR
2011
IEEE
15 years 2 months ago
Sharing Features Between Objects and Their Attributes
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
Sung Ju Hwang, Fei Sha, Kristen Grauman
JIPS
2010
138views more  JIPS 2010»
15 years 1 months ago
A Study on Design and Implementation of the Ubiquitous Computing Environment-based Dynamic Smart On/Off-line Learner Tracking Sy
In order to provide a tailored education for learners within the ubiquitous environment, it is critical to undertake an analysis of the learning activities of learners. For this pu...
Hyung-Min Lim, Kun-Won Jang, Byung-Gi Kim
CVPR
2005
IEEE
16 years 8 months ago
Restoration and Recognition in a Loop
In this paper we present a novel learning based method for restoring and recognizing images of digits that have been blurred using an unknown kernel. The novelty of our work is an...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...