4660 search results - page 417 / 932 » Learning from imperfect data |
174
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ECML
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...
197
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ECML
2005
Springer
16 years 12 days ago
2005
Springer
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
213
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CVPR
2011
IEEE
15 years 3 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
220
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TSP
2010
15 years 1 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
177
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CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...