843 search results - page 97 / 169 » Learning aspect models with partially labeled data |
109
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MICCAI
2009
Springer
16 years 5 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
157
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PAMI
2012
13 years 6 months ago
2012
—It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training...
111
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ECCV
2010
Springer
15 years 9 months ago
2010
Springer
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
124
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AAAI
2004
15 years 5 months ago
2004
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
196
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MLG
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...