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@@ -5,7 +5,27 @@ Random projections have been recently implemented in Nonnegative Matrix Factoriz
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ToWrite
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## Download
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+[Download the Matlab code of the proposed NeNMF method with random projections](https://gogs.univ-littoral.fr/puigt/Faster-than-fast_NMF/src/master/Code)
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+The code was written by Farouk YAHAYA (farouk.yahaya [at] univ-littoral.fr) and is maintained by Farouk YAHAYA and Matthieu PUIGT (matthieu.puigt [at] univ-littoral.fr).
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+
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+It contains several functions and folders:
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+
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+* README.m
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+* add_paths.m
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+* Demo.m
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+* data_simuilation.m
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+* plots.m
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+* stop_rule.m
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+* **algorithms**
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+ * VANILLA_NeNMF.m
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+ * RSI_NeNMF.m
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+* **output**
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+* **synthetic_data**
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+
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## Reference
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-F. Yahaya, M. Puigt, G. Delmaire, and G. Roussel, "Faster-than-fast NMF using random projections and Nesterov iterations," in Proc. of iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Marseille, France, November 21-23, 2018.
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+If you use this code for research or educational purpose, please cite:
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+
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+> F. Yahaya, M. Puigt, G. Delmaire, and G. Roussel, "Faster-than-fast NMF using random projections and Nesterov iterations," in Proc. of iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Marseille, France, November 21-23, 2018.
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+>
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