Non-negative Matrix Factorization under Heavy NoiseDownload PDFOpen Website

2016 (modified: 23 Mar 2024)ICML 2016Readers: Everyone
Abstract: The Noisy Non-negative Matrix factorization (NMF) is: given a data matrix A (d x n), find non-negative matrices B;C (d x k, k x n respy.) so that A = BC +N, where N is a noise matrix. Existing poly...
0 Replies

Loading