4366 search results - page 353 / 874 » Learning and Smoothed Analysis |
208
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ML
2012
ACM
14 years 2 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
189
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ICIP
2006
IEEE
16 years 8 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
185
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
194
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ACCV
2007
Springer
16 years 1 months ago
2007
Springer
Feature representation and classification are two major issues in facial expression analysis. In the past, most methods used either holistic or local representation for analysis. ...
178
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CORR
2008
Springer
15 years 7 months ago
2008
Springer
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...