most citedKernel Nonnegative Matrix Factorization Without the Curse of the Pre-image - Application to Unmixing Hyperspectral Images

8 citations · 8 across the 1 of their papers we have counts for

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1 paper

cs.CV2014★ 8 cited

Kernel Nonnegative Matrix Factorization Without the Curse of the Pre-image - Application to Unmixing Hyperspectral Images

Fei Zhu, Paul Honeine, Maya Kallas

The nonnegative matrix factorization (NMF) is widely used in signal and image processing, including bio-informatics, blind source separation and hyperspectral image analysis in rem…