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32
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ICCV
2005
IEEE
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Computer Vision
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ICCV 2005
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Learning Non-Negative Sparse Image Codes by Convex Programming
15 years 20 days ago
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ipa.iwr.uni-heidelberg.de
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler
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