Programming Language:Scilab

A Regularized Correntropy Framework for Robust Pattern ...

★★★

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 ...

Category:All
AuthorsRan He
E-mail

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 ...

Category:All
E-mail

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, ...

Category:All
AuthorsBaogang Hu
E-mail

Efficient Nonnegative Sparse Coding Algorithm

★★★★★

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

Category:Directory
E-mail

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
E-mail

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

L21 Regularized Correntropy for Robust Feature Selectio...

★★★

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 ...

Category:Directory
AuthorsRan He
E-mail

Maximum Correntropy Criterion for Robust Face Recogniti...

★★★★★

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 ...

Category:All
AuthorsRan HE
E-mail

OpenPR-0.0.1(linux)

★★½

Scilab Pattern Recognition Toolbox is a toolbox developed for Scilab software, and is used in pattern recognition, machine learning and the related field. It is developed for the purpose of education and research.

AuthorsJia Wu
E-mail

OpenPR-0.0.1(win)

★★★

Scilab Pattern Recognition Toolbox is a toolbox developed for Scilab software, and is used in pattern recognition, machine learning and the related field. It is developed for the purpose of education and research.

AuthorsJia Wu
E-mail

OpenPR-0.0.2

★★★

Scilab Pattern Recognition Toolbox is a toolbox developed for Scilab software, and is used in pattern recognition, machine learning and the related field. It is developed for the purpose of education and research.

AuthorsJia Wu
E-mail

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 ...

Category:Directory
AuthorsRan He
E-mail

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

★★★

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-stage Sparse Representation

This program implements a novel robust sparse representation method, called the two-stage sparse representation (TSR), for robust recognition on a large-scale database. Based on the divide and conquer strategy, TSR divides the procedure of robust recogni ...

Category:All
AuthorsRan HE
E-mail

Urheen: A Chinese/English Lexical Analysis Toolkit

★★★★★

Urheen is a toolkit for Chinese word segmentation, Chinese pos tagging, English tokenize, and English pos tagging. The Chinese word segmentation and pos tagging modules are trained with the Chinese Tree Bank 7.0. The English pos tagging module is trained ...

AuthorsKun WANG
E-mail
OpenPR - Open Pattern Recognition Project, Powered by National Laboratory of Pattern Recognition,Casia,P.R.C ;Joomla templates by SG web hosting;Customized by Jiang nan