lmj.pursuit 0.3

Company: Leif Johnson

Date Added: September 12, 2013 | Visits: 292

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This Python package contains some variants of the matching pursuit sparse coding algorithm. Matching pursuit uses a set of "basis functions" or "codebook filters" to greedily encode a raw signal in terms of a weighted sum of filters. Using gradient ascent we can also infer a likely set of filters from an unlabeled dataset of signals.

Requirements: No special requirements

Platforms: *nix, Linux

Keyword: Ascent, Dataset, Encode, Gradient, Signal, Signals, Terms, Unlabeled, Weighted

Users rating: 0/10

License: Shareware

Size: 40.96 KB

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