Feature selection based on discriminative power under uncertainty for computer vision applications
Feature selection is a prolific research field, which has been widely studied in the last decades and has been successfully applied to numerous computer vision systems. It mainly aims to reduce the dimensionality and thus the system complexity. Features have not the same importance within the differ...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Computer Vision Center Press
2022-06-01
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| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| Subjects: | |
| Online Access: | https://elcvia.cvc.uab.cat/article/view/1361 |