70 search results - page 9 / 14 » Recovering signals from lowpass data |
173
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
154
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NIPS
1997
15 years 7 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
199
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BMCBI
2006
15 years 5 months ago
2006
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
195
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NIPS
2008
15 years 7 months ago
2008
How does one extract unknown but stereotypical events that are linearly superimposed within a signal with variable latencies and variable amplitudes? One could think of using temp...
165
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ICA
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. The recovery of the mixture of an N-dimensional signal generated by N independent processes is a well studied problem (see e.g. [1,10]) and robust algorithms that solve t...