% FastICA for Matlab 7.x and 6.x % Version 2.5, October 19 2005 % Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el�, and Aapo Hyv鋜inen. % % Type fasticag to launch the graphical user interface % % Please refer to your Matlab documentation on how t
机器学方面一本很新， 很全面的书。 pdf超好。 彩版的。 Chapter What’s new 1. Introduction 2. Overview of Supervised Learning 3. Linear Methods for Regression LAR algorithm and generalizations of the lasso 4. Linear Methods for Classification Lasso path for logistic regressi
Abstract—This paper introduces a multilinear principal com- ponent analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern recognition applications, such as 2-D/3-D images and video seq
PCA算法的源代码，使用ORL人脸库，下载后需要修改如下语句： a=imread(strcat('C:\Documents and Settings\Administrator\桌面\orl\s',num2str(i),'\',num2str(j),'.BMP')); 为你自己的人脸库路径，保证能运行。
Introduction ============ This is a class for symmetric matrix related computations. It can be used for symmetric matrix diagonalization and inversion. If given the covariance matrix, users can utilize the class for principal component analysis(PCA)
PCA带图像% Face recognition by Santiago Serrano %人脸识别代码 clear all close all clc % number of images on your training set. %训练集数目 M=10; %Chosen std and mean. %It can be any number that it is close to the std and mean of most of the images. um=100; ustd=8
This article is designed to be the first in several to explain the use of the EMGU image processing wrapper. For more information on the EMGU wrapper please visit the EMGU website . If you are new to this wrapper see the Creating Your First EMGU Ima
PCA降维算法讲义ppt slides，pca降维算法，课程资源，pptIntrinsic latent dimensions
In this dataset, there is only 3 degrees of freedom of variability,
corresponding to vertical and horizontal translations, and the rotations
333[3
Each image undergoes a random displacem
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
import matplotlib.pyplot as plt
import numpy as np
path = ./knn_num_data/%s/%s_%s.bmp
data = []
target = []
for i in
