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» Making inferences with small numbers of training sets
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IJFCS
2008
102views more  IJFCS 2008»
13 years 9 months ago
Succinct Minimal Generators: Theoretical Foundations and Applications
In data mining applications, highly sized contexts are handled what usually results in a considerably large set of frequent itemsets, even for high values of the minimum support t...
Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu N...
ECCV
2008
Springer
14 years 10 months ago
Face Alignment Via Component-Based Discriminative Search
In this paper, we propose a component-based discriminative approach for face alignment without requiring initialization1 . Unlike many approaches which locally optimize in a small ...
Lin Liang, Rong Xiao, Fang Wen, Jian Sun
ECCV
2006
Springer
14 years 10 months ago
Modeling 3D Objects from Stereo Views and Recognizing Them in Photographs
Local appearance models in the neighborhood of salient image features, together with local and/or global geometric constraints, serve as the basis for several recent and effective...
Akash Kushal, Jean Ponce
CP
2009
Springer
14 years 9 months ago
Minimising Decision Tree Size as Combinatorial Optimisation
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
HICSS
2006
IEEE
140views Biometrics» more  HICSS 2006»
14 years 2 months ago
Programming Education in the Era of the Internet: A Paradigm Shift
Over the last several years, the Computer Science (CS) community has put a great deal of effort in to the area of security research, and have made great advances. Counterintuitive...
Scott Harrison, Nadine Hanebutte, Jim Alves-Foss