Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming (Special Topic on Machine Learning and Optimization)
Matthias Heiler and Christoph Schnrr

Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming     (Special Topic on Machine Learning and Optimization).pdf 254.49kB
Type: Paper
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Journal: Journal of Machine Learning Research, Volume: 7

URL: http://www.jmlr.org/papers/volume7/heiler06a/heiler06a.pdf
License: No license specified, the work may be protected by copyright.

Bibtex:
@article{7:51,author={Matthias Heiler and Christoph Schnrr}, Title={Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming (Special Topic on Machine Learning and Optimization)},journal={Journal of Machine Learning Research},volume={7}, url={http://www.jmlr.org/papers/volume7/heiler06a/heiler06a.pdf}}

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