Unit:CASIA

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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Auto-encoder Based Data Clustering Toolkit

The auto-encoder based data clustering toolkit provides a quick start of clustering based on deep auto-encoder nets. This toolkit can cluster data in feature space with a deep nonlinear nets.

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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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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, ...

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AuthorsRan He
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Image Classification Toolkit using Bag-of-Words

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This evaluation toolkit provides a unified framework for evaluating bag-of-words based encoding methods over several standard image classification datasets.

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AuthorsZifeng Wu
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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 ...

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AuthorsRan He
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Learning Coupled Feature Spaces for Cross-modal Matchin...

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AuthorsKaiye Wang
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OpenCV Based Extended Kalman Filter Frame

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A simple and clear OpenCV based extended Kalman filter(EKF) abstract class implementation,absolutely following standard EKF equations. Special thanks to the open source project of KFilter1.3. It is easy to inherit it to implement a variable state and me ...

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P3P(Perspective 3-Points) Solver

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This is a implementation of the classic P3P(Perspective 3-Points) algorithm problem solution in the Ransac paper "M. A. Fischler, R. C. Bolles. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartogr ...

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RFD

This is an unoptimized implementation of the RFD binary descriptor, which is published in the following paper. B. Fan, et al. Receptive Fields Selection for Binary Feature Description. IEEE Transaction on Image Processing, 2014. doi: http://dx.doi.org/ ...

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AuthorsBin Fan
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Semi-supervised Learning and Feature Evaluation for RGB...

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This toolbox provides a semi-supervised learning framework based on co-training for RGB-D object recognition. Besides, we evaluate four state-of-the-art feature learning methods under the framework.

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Two-dimensional relaxed representation

Q. Dong, Two-dimensional relaxed representation, Neurocomputing

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