Towards understanding sparse filtering: A theoretical perspective
Work
Year: 2017
Type: article
Source: Neural Networks
Authors Fabio Massimo Zennaro, Ke Chen
Institution University of Manchester
Cites: 63
Cited by: 38
Related to: 10
FWCI: 3.338
Citation percentile (by year/subfield): 82.09
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green