Operating System:Windows

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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Agglomerative Mean-Shift Clustering

Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets. For the purpose of algorithm speedup, an agglomerative MS clustering metho ...

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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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Bagging PCA Hashing

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The proposed hashing algorithm leverages the bootstrap sampling idea and integrates it with PCA, resulting in a new projection method called Bagging PCA Hashing.

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Calculate Normalized Information Measures

The toolbox is to calculate normalized information measures from a given m by (m+1) confusion matrix for objective evaluations of an abstaining classifier. It includes total 24 normalized information measures based on three groups of definitions, that is, ...

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AuthorsBaogang Hu
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CMatrix Class

It's a C++ program for symmetric matrix diagonalization, inversion and principal component anlaysis(PCA). The matrix diagonalization function can also be applied to the computation of singular value decomposition (SVD), Fisher linear discriminant analysis ...

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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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Efficient PSD Constrained Asymmetric Metric Learning fo...

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This MATLAB package provides the MLAPG algorithm proposed in our ICCV 2015 paper. It is efficient for PSD constrained metric learning, and also effective for person re-identification. For more details, please visit http://www.cbsr.ia.ac.cn/users/scliao/pr ...

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Genealized Constraints Neural Network Regression Model ...

This code is developed for incorporating a class of linear priors into the regression model. The main references are as follows: Ya-Jun Qu and Bao-Gang Hu, "Generalized Constraint Neural Network Regression Model subject to Linear Priors," IEEE Transaction ...

AuthorsYajun Qu
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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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Histograms of Oriented Gradients (HOG) Feature Extracti...

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This program is used to extract HOG(histograms of oriented gradients) features from images. The integral histogram is used for fast histogram extraction. Both APIs and binary utility are provided.

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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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Layer-Based Dependency Parser

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LDPar is an efficient data-driven dependency parser. You can train your own parsing model on treebank data and parse new data using the induced model.

AuthorsPing Jian
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Learning Coupled Feature Spaces for Cross-modal Matchin...

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AuthorsKaiye Wang
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Linear Discriminant Function Classifier

This program is a C++ implementation of Linear Discriminant Function Classifier. Discriminant functions such as perceptron criterion, cross entropy (CE) criterion, and least mean square (LMS) criterion (all for multi-class classification problems) are sup ...

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AuthorsRui Xia
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Local Binary Pattern

This is a class to calculate histogram of LBP (local binary patterns) from an input image, histograms of LBP-TOP (local binary patterns on three orthogonal planes) from an image sequence, histogram of the rotation invariant VLBP (volume local binary patte ...

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AuthorsJia WU
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LOMO Feature Extraction and XQDA Metric Learning for Pe...

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This MATLAB package provides the LOMO feature extraction and the XQDA metric learning algorithms proposed in our CVPR 2015 paper. It is fast, and effective for person re-identification. For more details, as well as downloads of extracted features on sever ...

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Maximum Correntropy Criterion for Robust Face Recogniti...

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This code is developed based on Uriel Roque's active set algorithm for the linear least squares problem with nonnegative variables in: Portugal, L.; Judice, J.; and Vicente, L. 1994. A comparison of block pivoting and interior-point algorithms for linear ...

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AuthorsRan HE
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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 ...

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AuthorsBin Fan
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