Unsupervised representation learning with Minimax distance measures
Work
Year: 2020
Type: article
Abstract: We investigate the use of Minimax distances to extract in a nonparametric way the features that capture the unknown underlying patterns and structures in the data. We develop a general-purpose and com... more
Source: Machine Learning
Author Morteza Haghir Chehreghani
Institution Chalmers University of Technology
Cites: 43
Cited by: 12
Related to: 10
FWCI: 1.7
Citation percentile (by year/subfield): 87.27
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
APC paid (est): $2,990
Grant ID 37200022