2295 search results - page 206 / 459 » Learning Overcomplete Representations |
215
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ICANN
2011
Springer
14 years 10 months ago
2011
Springer
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
192
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
183
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BMCBI
2004
15 years 6 months ago
2004
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
208
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TNN
2011
15 years 1 months ago
2011
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
133
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ICPR
2002
IEEE
16 years 7 months ago
2002
IEEE
Psychophysical studies have shown that humans actively exploit temporal information such as contiguity of images in object recognition. We have recently developed a recognition sy...