FCM_tool_box_Ver2

it will count the bit

在数值微积分中讨论并比较了没有初等函数解析式情况下的 定积分数值逼近的(Discussed in the numerical integration and compared the analytic situation is not under the primary function of integral numerical approximation of the rectangular method, trapezoidal method, Simpson' s method and Coates law)

可用于matlab的英语语音数据库，用于语音合成与识别(Speech Database)

source code in matlab for binarization some text

It is important to detect the edges of the image.It is not better than cany.

说明：  This program to simulation rectangular and triangular signal with matlab

聚类代码(include sparse capability)(Clustering code (include sparse capability))

DSP有限字长效应分析，对系数量化给系统带来的部稳定因素进行分析

　计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。(Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.)

UN AUTRE MONDE DE LA VISION.............MATLAB..................SEGMENTATION