3256 search results - page 322 / 652 » Learning Linear Transformations |
190
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JMLR
2010
15 years 5 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
189
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PAMI
2010
15 years 5 months ago
2010
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
210
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ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
248
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CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training data, we also assoc...
173
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JMLR
2010
15 years 1 months ago
2010
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...