搜索资源列表
TMSCP5050
- TMS Component Pack V5.0包含了超过 280 个为 Delphi 以及 C++Builder 设计的 TMS 生产控件，省钱又省时。 本版本支持以下 IDE： Delphi 5,6,7,2005 C++Builder 5,6 BDS 2006 (Delphi 2006, C++Builder 2006) RAD Studio 2007 (Delphi 2007, C++Builder 2007) RAD Studio 2009 (Delphi 2009, C++Builder
Passive_Components
- passive component schematic library for altium
jinzhend
- 独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。-Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical in
hhh
- ：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the t
DelphiLDAPAuthenticationComponent
- Delphi LDAP Authentication Component delphi ldap控件-Delphi LDAP Authentication Component delphi ldap control
malic
- 它是SourceForge上的一个开源项目，使用Malib实现实时处理，CSU Face Identification Evaluation System进行人脸识别。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(EBGM)等等 Malic is realtime face recognition system
connected_components
- This program calculates the number of connected components in a graph (Two vertices are in the same connected component of the graph, if there exists a path between these two vertices.
ica2
- 基于峭度极大的一种独立分量分析的算法，内有详细介绍每一步程序的作用和意义-Based on Kurtosis of a great independent component analysis algorithms, with detailed procedures for every step of the role and significance of
Designing-Component-Based-Applications
- Designing Component-Based Applications
EigenFace
- This is a MFC program to test Principle Component Analysis (PCA) for constructing Eigenfaces. Using train images, it calculates Eigen values and Eigen vectors with sorting. Then reconstruct test images from PCA coefficients.
fuz
- 使用Fuzzy Cluster Mean (FCM)與Principal component analysis (PCA)分類Yeast Data-Yeast data will be classified by means of Fuzzy Cluster Mean (FCM)and Principal component analysis (PCA) based on matlab.
Pca
- pca可以对数据进行降维，在模式识别中有重要应用。-pca pricipal component analysis
PCA
- PCA 主成分分析在人脸识别中的应用 基于主成分分析理论对不同人脸库进行学习 总结“经验”并将“经验”用于对人脸的识别中-PCA Principal Component Analysis for Face Recognition Based on principal component analysis theory of different learning face database summary of " experience" and " experience
PCA
- 主成分分析，人脸识别，模式识别，对图像处理有点帮助-Principal component analysis, face recognition, pattern recognition, image processing for a little help
ImageLabel
- java实现图像连通区域算法 *ImageLabel is an algorithm that applies Connected Component Labeling *alogrithm to an input image. Only mono images are catered for.-*ImageLabel is an algorithm that applies Connected Component Labeling *alogrithm to an input
fndSck327
- 一套Socket编程的控件,可以支持 Socket5和 httptunnle-FUNDAMENTALS is a collection of Delphi code libraries. FUNDAMENTALS SOCKETS contains: Sockets cWinSock.pas WinSock functions cSocks.pas SOCKS4/5 functions
Next.Component.Suite.v4.5.09.1.for.Delphi.BCB.Ful
- Next Component.Suite.v4.5.09.1.for.Delphi.BCB.Full.Source
fdgd
- 强连通分量的实现 强连通分量的实现 -Strongly connected component strongly connected component to achieve the realization of strongly connected components to achieve the realization of strongly connected components
PCA
- document about principle component analysis
ccl
- python code to do connected component labeling of the thresholded image