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» Making inferences with small numbers of training sets
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IJFCS
2008
102views more  IJFCS 2008»
15 years 1 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
16 years 3 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
16 years 3 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
16 years 2 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»
15 years 8 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