## Linux

### 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 **...**

### Deep Semantic Ranking Based Hashing

This algorithm is described in Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval. For more details, please visit https://github.com/zhaofang0627/cuda-convnet-for-hashing

### Efficient PSD Constrained Asymmetric Metric Learning fo...

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 **...**

### 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 **...**

### Histogram of Oriented Gradient

This is an exact implementation of Histogram of Oriented Gradient as mentioned in the paper by Dalal.

### 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.

### Java Machine Learning Platform(JMLP)

Jmlp is a java platform for both of the machine learning experiments and application. I have tested it on the window platform. But it should be applicable in the linux platform due to the cross-platform of Java language. It contains the classical classifi **...**

### 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 **...**

### LOMO Feature Extraction and XQDA Metric Learning for Pe...

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 **...**

### 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 **...**

### Metropolis–Hastings algorithm

Metropolis-Hastings alogrithm is a Markov chain Monte Carlo method for obtaining a sequence of random samples from a probability distribution for which direct sampling is difficult. Thi sequence can be used to approximate the distribution.

### 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, **...**