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Improved version of pca face recognition algorithms

This is a method of human face recognition using pca practical AR library. Recognition rate is much higher than the normal pca. There AR library and corresponding code in my file. Run LiS_110402_AR_pca_rdm this file can....
  Matlab        Matlab     

Two rapid implementation of pca algorithm

Principal component analyses (Principal Component Analysis,pca) is a statistical methods for mastering the principal contradiction, it can resolve the main influencing factors from the multiple things, revealing the essence of things, simplifying complex issues. Computing principal components design...
  Algorithm        C     

Android pcap under static compile-lib library

Android static JNI compiled of the pcap library, used to catch, and analysis. Versions for the libpcap version 0.9.8, compression bag requires 2 API header file, test has been passed, it is not submitted to the Android code under test, are interested can try....
  Android        C     

pca+SVM face recognition systems using Matlab

MATLAB pca+SVM face recognition systems, dimensionality reduction using pca, classification using SVM, recognition rate is good. Codes were debugged and passed....
  Matlab        Matlab     

Kpca codes

Kpca basic thought is the first low-dimensional nonlinear relationships between the variables in the input space by non-linear Mapping in the high-dimensional feature space, and take place in a high-dimensional feature space principal components analysis, evaluating data in non- On the linear princ...
  Matlab        Matlab     

Face recognition using pca

In Matlab, face recognition using pca algorithm, divided into training and recognition phases. First train and dimension reduction operations, can then be used to identify test set...
  Matlab        Matlab     

SvmpcaKnn procedures for data classification

Svm,pca,Knn the classification procedure, there is a little data, results can be run directly, these three programs are independent, Visual classifier to compare three different results, users can also find their own data....
  Matlab        Matlab     

pca people Face identified Shi

% A sample script, which shows the usage of functions, included in % pca-based face recognition system (Eigenface method) % % See also: CREATEDATABASE, EIGENFACECORE, RECOGNITION % Original version by Amir Hossein Omidvarnia, October 2007 clear all clc close all %You can custo...
  Matlab        Matlab     

Kernel pca and Pre-Image Reconstruction

Principal component analysis (pca) is a popular tool for linear dimensionality reduction and feature extraction. Kernel pca is the nonlinear form of pca, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the...
  Matlab        Matlab     

pca and ICA Package

This package contains functions that implement Principal Component Analysis (pca) and its lesser known cousin, Independent Component Analysis (ICA). pca and ICA are implemented as functions in this package, and multiple examples are included to demonstrate their use. In pca, multi-dimens...
  Matlab        Matlab     

Sharpcap-network caught

Sharppcap is Tamir Gal specially for. Net development environment to write packet capture framework, it is perfect combination of core component Winpcap and Windows networking functions. The Assembly inherited Winpcap overtook Winpcap and it uses message mechanism, most vividly of the advantages of...
  Socket        C#     

Face recognition SIFT_pca

United face recognition using pca and SIFT, SIFT the results obtained using pca extract as main ingredient, improves the algorithm of recognition rate, shortens time to identify. Training library using the ORL standard face, which each have 10 different face, 5 used to train, another 5 to identify....
  Matlab        Matlab     

kernelpca_tutorial

function data_out = kernelpca_tutorial(data_in,num_dim) % % This function does principal component analysis (non-linear) on the given % data set using the Kernel trick % % Data_Out = kernelpca_tutorial(Data_in,Num_Dim) % % Data_in - Input data (d (dimensions) X N (# of points) % Num_Dim - Di...
  GUI        Matlab     

2Dpca two-dimensional principal component analysis

2Dpca, that is, two-dimensional principal component analysis, as opposed to traditional pca (principal component analysis), reducing the 2Dpca in the two-dimensional image, no need to go into a dimension (vector)...
  Matlab        Matlab     

hsi pca fuse matlab code

matlab code for image fusion, containing two methods: hsi and pca. Hsi transform and pca transform codes in more detail, and they are used for fusion of the two pictures, the effect is very good....
  Image Processing        Matlab     

pca Based Face Recognition System Using ORL Database

This package implements a well-known pca-based face recognition method, which is called 'Eigenface'. The program is easy to use. Furthermore, a sample Project file 'Projectpca.m' is added that demonstrate how to use, ORL training and test database is also included to show Performance comparison for...
  Matlab        Matlab     

Includes IHS,pca Fusio, weighted image fusion algorithm using Matlab source code

Includes IHS,pca Fusio, weighted image fusion algorithm using Matlab source code! Mainly used in GSM, satellite image processing, there are example picture, you can clearly see the effect...
  Image Processing        Matlab     

pca method MATLAB source code

.........Select Image.................... .........New Record...................... .........Number of ID(s)................ .........Face Recognition................ .........Delete Database................. .........ID Information.................. .........Mean Face and EigenFaces.........
  Matlab        Matlab     

pca face recognition

Based on principal components analysis, face recognition, plus ABOOST classifier for detection of human face, good results are welcome to download. pca is a classical algorithm, full show here, very useful for beginners or people for the project....
  Algorithm        C++     

Image fusion based on pca implementation

%clear all; A1=imread('clockA.gif'); A2=imread('clockB.gif'); M1=double(A1); M2=double(A2); Y=fuse_pca(M1,M2); figure; imshow(Y,[]);...
  Matlab        Matlab     

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