Abstract: Large variations across images make image classification a challenging task; limited training data further increases its difficulty. Genetic programming (GP) has been considerably applied to ...
Abstract: This study addresses the challenge of robust image restoration corrupted by impulse noise. By integrating an L1 norm loss function with a Minimax Concave (MC) penalty function, a novel ...
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