Tags:sparse representation

A Regularized Correntropy Framework for Robust Pattern ...

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This letter proposes a new multiple linear regression model using regularized correntropy for robust pattern recognition. First, we motivate the use of correntropy to improve the robustness of the classicalmean square error (MSE) criterion that is sensiti ...

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AuthorsRan He
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Half-quadratic based Iterative Minimization for Robust ...

Robust sparse representation has shown significant potential in solving challenging problems in computer vision such as biometrics and visual surveillance. Although several robust sparse models have been proposed and promising results have been obtained, ...

Category:Directory
AuthorsRan He
E-mail

Sparse representation (L1 minimization) via half-quadra...

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Robust sparse representation has shown significant potential in solving challenging problems in computer vision such as biometrics and visual surveillance. Although several robust sparse models have been proposed and promising results have been obtained, ...

Category:Directory
AuthorsRan He
E-mail

Two-dimensional relaxed representation

Q. Dong, Two-dimensional relaxed representation, Neurocomputing

Category:Directory
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