28 search results - page 1 / 6 » Online Incremental Feature Learning with Denoising Autoencod... |
127
Voted
JMLR
2012
12 years 12 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
83
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
96
Voted
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
ICPR
2008
IEEE
15 years 3 months ago
2008
IEEE
We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...
104
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...