995 search results - page 103 / 199 » Learning Useful Horn Approximations |
210
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
In this paper we present a novel face classification system
where we represent face images as a spatial arrangement
of image patches, and seek a smooth non-linear functional
map...
193
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EMNLP
2011
14 years 5 months ago
2011
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
153
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
123
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ICDM
2006
IEEE
16 years 4 days ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
184
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ECCV
2006
Springer
15 years 9 months ago
2006
Springer
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...