544 search results - page 38 / 109 » Active Learning with Model Selection in Linear Regression |
119
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ICIP
2007
IEEE
16 years 3 months ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
113
Voted
IJAR
2010
15 years 9 days ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
134
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ESANN
2006
15 years 3 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
110
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
113
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ICCV
2003
IEEE
15 years 7 months ago
2003
IEEE
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...