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现有的代数特征的抽取方法绝大多数采用一维的方法,即首先将图像转换为一维向量,再用主分量分析(PCA),Fisher线性鉴别分析(LDA),Fisherfaces式核主分量分析(KPCA)等方法抽取特征,然后用适合的分类器分类。针对一维方法维数过高,计算量大,协方差矩阵常常是奇异矩阵等不足,提出了二维的图像特征抽取方法,计算量小,协方差矩阵一般是可逆的,且识别率较高。-existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.
Date : 2008-10-13 Size : 2.45kb User : 小弟

该软件采用Matlab6.0语言编写的,,运环境为Windows XP操作系统。该软件包括一个主程序和四个子程序,这四个子程序分别完成了数据库模块、清零模块、特征提取模块、分类识别模块功能。-the software used Matlab language, and Win environment for the Windows XP operating system. The software includes a main program and four subroutine, this subroutine completed four of the database module, module reset, feature extraction module, Classification and Identification Module functions.
Date : 2008-10-13 Size : 1.94mb User : 小弟

1.简介 本程序是用纯C语言编的一个基于菜单命令行的数据库系统。可以创建多个数据库,数据库表,字段。其中字段的类型只能为整形,浮点型,字符型和字符串型(最大长度确定,不能改变)。 2.功能 a)数据库存储: 一个数据库存储于一个文件中,打开文件将数据库载入到内存。 保存时将内存中数据重新写到文件中去。 b)数据库管理: 提供数据库的创建,表的创建,字段的创建 提供对数据的查询,删除,修改,排序功能 c)支持SQL部分语句: 支持SELECT 和DELETE语句-1. Introduction of this program is pure C language based on a series of menu command-line database system. You can create multiple databases, database tables, fields. The type field which can only plastic, floating point, character and string (maximum length and can not be changed). 2. A function) database storage : a database stored in a document, the document will open the database to include memory. When will preserve memory data re-wrote a document. B) database management : to provide database creation, table creation, the field for the creation of data inquiries, delete, modify, sequencing feature c) some support SQL statement : support DELETE and SELECT statements
Date : 2008-10-13 Size : 12.53kb User : 李军

sfrmat is a Matlab function that provides a spatial frequency response* (SFR) from a digital image file containing a slanted-edge feature. The specific edge-gradient algorithm follows the intent of the standard ISO 12233, developed by Technical Committee ISI/TC 42, for resolution measurements for electronic still pictorial cameras.
Date : 2008-10-13 Size : 250.07kb User : 杨样

经过改进的C语言位操作功能-improved C-language feature
Date : 2008-10-13 Size : 57.64kb User : 忆星

1.简介 本程序是用纯C语言编的一个基于菜单命令行的数据库系统。可以创建多个数据库,数据库表,字段。其中字段的类型只能为整形,浮点型,字符型和字符串型(最大长度确定,不能改变)。 2.功能 a)数据库存储: 一个数据库存储于一个文件中,打开文件将数据库载入到内存。 保存时将内存中数据重新写到文件中去。 b)数据库管理: 提供数据库的创建,表的创建,字段的创建 提供对数据的查询,删除,修改,排序功能 c)支持SQL部分语句: 支持SELECT 和DELETE语句-1. Introduction of this program is pure C language based on a series of menu command-line database system. You can create multiple databases, database tables, fields. The type field which can only plastic, floating point, character and string (maximum length and can not be changed). 2. A function) database storage : a database stored in a document, the document will open the database to include memory. When will preserve memory data re-wrote a document. B) database management : to provide database creation, table creation, the field for the creation of data inquiries, delete, modify, sequencing feature c) some support SQL statement : support DELETE and SELECT statements
Date : 2026-01-09 Size : 12kb User : 李军

经过改进的C语言位操作功能-improved C-language feature
Date : 2026-01-09 Size : 57kb User : 忆星

现有的代数特征的抽取方法绝大多数采用一维的方法,即首先将图像转换为一维向量,再用主分量分析(PCA),Fisher线性鉴别分析(LDA),Fisherfaces式核主分量分析(KPCA)等方法抽取特征,然后用适合的分类器分类。针对一维方法维数过高,计算量大,协方差矩阵常常是奇异矩阵等不足,提出了二维的图像特征抽取方法,计算量小,协方差矩阵一般是可逆的,且识别率较高。-existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.
Date : 2026-01-09 Size : 2kb User : 小弟

子空间学习的代码,主要包括人脸识别中常用的特征提取算法如pca lda 以及目前常见的流行学习的相关代码-Subspace learning the code, mainly including commonly used in face recognition feature extraction algorithms such as pca lda and the current prevalence of common learning-related code
Date : 2026-01-09 Size : 169kb User : dd

高校的ICA计算代码,广泛用于特征选择,降维,目标识别等-Colleges and universities ICA calculation code, widely used in feature selection, dimensionality reduction, target identification, etc.
Date : 2026-01-09 Size : 2kb User : anan

sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper: Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fuzzy Rules with Reduced Attributes for the Monitoring of Complex Systems. Engineering Applications of Artificial Intelligence, 13(3):263-278, 2000. rsar reads in a MIMO (Multiple Input, Multiple Output) dataset, performs RS-based feature selection on it, and returns the selected feature subset. Four versions of the QuickReduct algorithm are supported, QuickReduct, QuickReduct III, QuickReduct IV and QuickReduct V (progressively faster implementations). QuickReduct II is a backward elimination version of QuickReduct and is not supported yet neither is exhaustive search for reducts. -sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper: Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fuzzy Rules with Reduced Attributes for the Monitoring of Complex Systems. Engineering Applications of Artificial Intelligence, 13(3):263-278, 2000. rsar reads in a MIMO (Multiple Input, Multiple Output) dataset, performs RS-based feature selection on it, and returns the selected feature subset. Four versions of the QuickReduct algorithm are supported, QuickReduct, QuickReduct III, QuickReduct IV and QuickReduct V (progressively faster implementations). QuickReduct II is a backward elimination version of QuickReduct and is not supported yet neither is exhaustive search for reducts.
Date : 2026-01-09 Size : 713kb User : NH

用于提取EMG/MMG/ECG信号的频谱分析的特征量MATLAB代码,采用的算法是非负分解(NNMF)。-This program is designed to extract the feature of EMG/MMG/ECG signal in hand motions via the non-negative matrix factorization algorithm.
Date : 2026-01-09 Size : 8kb User : zy

粗糙集代码 data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set based feature evaluation and selection -Rough code data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set based feature evaluation and selection
Date : 2026-01-09 Size : 38kb User : gq

核主成分分析方法,是主成分分析的一种改进算法,是一种非线性的特征提取方法。 -Kernel principal component analysis, is the principal component analysis of an improved algorithm, is a nonlinear feature extraction method.
Date : 2026-01-09 Size : 1kb User : 叶子

Kuschner论文,贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析,可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页,子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete theory analysis, can be used for spectrum sensing cognitive radio networks and other new fields. Matlab program contains more than 100 pages, Functions a lot.
Date : 2026-01-09 Size : 1.97mb User : 孟庆民

机器学习中几种典型的降维方法, PCA, LDA等-typical feature extraction methods(PCA, LDA) in machine learning
Date : 2026-01-09 Size : 8kb User : 张小云

Feature Extraction for pattern analysis using SIFT. well commented for proper referencing-Feature Extraction for pattern analysis using SIFT. well commented for proper referencing
Date : 2026-01-09 Size : 2.68mb User : xiaomingw

Feature detection Algorithm in matlab
Date : 2026-01-09 Size : 20kb User : Anne

利用矩阵l2p范数来做特征选择的最新文章。-A unified algorithm for mixed l 2,p-minimizations and its application in feature selection
Date : 2026-01-09 Size : 186kb User :

广义的最近邻特征线的子空间学习方法在人脸识别中的应用。-Generalised nearest feature line for subspace learning
Date : 2026-01-09 Size : 51kb User :
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