Efficient L1-Norm Principal-Component Analysis via Bit Flipping
Work
Year: 2017
Type: article
Abstract: It was shown recently that the $K$ L1-norm principal components (L1-PCs) of a real-valued data matrix $\mathbf X \in \mathbb R^{D \times N}$ ($N$ data samples of $D$ dimensions) can be exactly calcula... more
Institutions Rochester Institute of Technology, Qualcomm (United States), University at Buffalo, State University of New York
Cites: 54
Cited by: 114
Related to: 10
FWCI: 13.97
Citation percentile (by year/subfield): 99.98
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funder National Science Foundation
Grant ID ECCS-1462341