Two-dimensional relaxed representation

Q. Dong, Two-dimensional relaxed representation, Neurocomputing

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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, ...

AuthorsRan He
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MROGH v1.1

This files are an implementation of the MROGH descriptor proposed in "Bin Fan, Fuchao Wu and Zhanyi Hu, Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor,CVPR 2011,pp.2377-2384" and "Bin Fan, Fuchao Wu and Zhanyi Hu, ...

AuthorsBin Fan
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MROGH

An implementation of MROGH descriptor. For more information, please refer to: “Bin Fan, Fuchao Wu and Zhanyi Hu, Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor, CVPR 2011, pp.2377-2384.” The most up-to-date infor ...

AuthorsBin Fan
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Threshold Image for Small object

Including source code of Threshold Method,SVM,Play Scan and Play detection.

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L21 Regularized Correntropy for Robust Feature Selectio...

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We study the problem of robust feature extraction based on L21 regularized correntropy in both theoretical and algorithmic manner. In theoretical part, we point out that an L21-norm minimization can be justified from the viewpoint of half-quadratic (HQ) o ...

AuthorsRan He
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Action Recognition by Dense Trajectories

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The code is for computing state-of-the-art video descriptors for action recognition. The most up-to-date information can be found at: http://lear.inrialpes.fr/people/wang/dense_trajectories

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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, ...

AuthorsRan He
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Efficient Nonnegative Sparse Coding Algorithm

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Nonnegative Sparse Coding, Discriminative Semi-supervised Learning, sparse probability graph

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Principal Component Analysis Based on Nonparametric Max...

In this paper, we propose an improved principal component analysis based on maximum entropy (MaxEnt) preservation, called MaxEnt-PCA, which is derived from a Parzen window estimation of Renyi’s quadratic entropy. Instead of minimizing the reconstruction ...

AuthorsRan He
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Naive Bayes EM Algorithm

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OpenPR-NBEM is an C++ implementation of Naive Bayes Classifier, which is a well-known generative classification algorithm for the application such as text classification. The Naive Bayes algorithm requires the probabilistic distribution to be discrete. Op ...

AuthorsRui XIA
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