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Wang et al., 2023 - Google Patents

Worst-case discriminative feature learning via max-min ratio analysis

Wang et al., 2023

Document ID
7363779927025540918
Author
Wang Z
Nie F
Zhang C
Wang R
Li X
Publication year
Publication venue
IEEE Transactions on Pattern Analysis and Machine Intelligence

External Links

Snippet

We propose a novel discriminative feature learning method via Max-Min Ratio Analysis (MMRA) for exclusively dealing with the long-standing “worst-case class separation” problem. Existing technologies simply consider maximizing the minimal pairwise distance …
Continue reading at ieeexplore.ieee.org (other versions)

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