## All

### 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.

### 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 **...**

### Thresholding program

This is demo program on global thresholding for image of bright small objects, such as aircrafts in airports. the program include four method, otsu,2D-Tsallis,PSSIM, Smoothnees Method.

### 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 **...**

### 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.

### 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 **...**

### 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 **...**

### 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 **...**

### 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 **...**

### 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 **...**

### P3P(Perspective 3-Points) Solver

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 **...**

### 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 **...**

### 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 **...**

### OpenCV Based Extended Kalman Filter Frame

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 **...**

### Supervised Latent Semantic Indexing

Supervised Latent Semantic Indexing(SLSI) is an supervised feature transformation method. The algorithms in this package are based on the iterative algorithm of Latent Semantic Indexing.

### 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.

### 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.

### 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, **...**