2295 search results - page 284 / 459 » Learning Overcomplete Representations |
173
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CACM
2006
15 years 6 months ago
2006
ional thinking is using abstraction and decomposition when attacking a large complex task or designing a large complex system. It is separation of concerns. It is choosing an appro...
169
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IJON
2006
15 years 6 months ago
2006
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...
199
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NECO
2007
15 years 6 months ago
2007
In this report, we present and evaluate a method of reconstructing three-dimensional (3D) periodic human motion from two-dimensional (2D) motion sequences. Based on a Fourier deco...
199
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IDEAL
2010
Springer
15 years 5 months ago
2010
Springer
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
180
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GI
2009
Springer
15 years 4 months ago
2009
Springer
: ConnectIT uses a graphical representation to express strategies for playing the connect-four game. With this tool we can transfer complex knowledge about the connect-four game it...