Semester of Graduation
Electrical and Computer Engineering
First Major Professor
Master of Science (MS)
We propose a block active ADMM to Minimize the NMF problem with Bregman Divergences. It is able to fill the gap that there are little works on NMF with general Bregman divergence. Our method requires fewer auxiliary variables and we use an iterative method to solve each subproblem. After conducting numerical experiments, it shows our algorithm converges much faster than the previously proposed algorithms.
Embargo Period (admin only)
Li, Xinyao, "Block active ADMM to Minimize NMF with Bregman Divergences" (2021). Creative Components. 864.