1364 search results - page 82 / 273 » Sampling Methods for Unsupervised Learning |
132
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BMCBI
2006
15 years 2 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
133
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KDD
2008
ACM
16 years 3 months ago
2008
ACM
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
146
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JMLR
2010
14 years 9 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
157
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
138
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...