## NLPR

### 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 **...**

### Action Recognition by Dense Trajectories

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

### 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 **...**

### 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.

### 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, **...**

### 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 **...**

### 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 **...**

### 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, **...**

### Histograms of Oriented Gradients (HOG) Feature Extracti...

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.

### Image Classification Toolkit using Bag-of-Words

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

### 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 **...**

### Layer-Based Dependency Parser

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.

### 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 **...**

### 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 **...**

### 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 **...**

### 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 **...**

### 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, **...**

### Naive Bayes Classifier

This program is a 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. Th **...**

### Naive Bayes EM Algorithm

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 **...**