319 search results - page 29 / 64 » Learning Nonlinear Manifolds from Time Series |
186
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BMCBI
2007
15 years 6 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
226
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
145
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ICML
2009
IEEE
16 years 6 months ago
2009
IEEE
We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal ...
175
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one that corresponds to the degrees of freedom of the camera). Recently,...
195
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IEEEICCI
2009
IEEE
15 years 3 months ago
2009
IEEE
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...