OpenAlex
Projection pursuit in high dimensions
Work
Year: 2018
Type: article
Abstract: Significance A key challenge in analyzing high-dimensional data is to extract meaningful low-dimensional structures, which typically represent signals of interest. Standard and widely used methods inc... more
Source: Proceedings of the National Academy of Sciences
Authors Peter J. Bickel, Gil Kur, Boaz Nadler
Institutions University of California, Berkeley, Weizmann Institute of Science
Cites: 32
Cited by: 29
Related to: 10
FWCI: 2.329
Citation percentile (by year/subfield): 91.8
Topic: Blind Source Separation Techniques
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funders National Science Foundation, United States-Israel Binational Science Foundation
Grant IDS DMS-1713082, 2012-159