搜索资源列表
HoughTransformProgramlisting
- 利用Tough变换提取并检测小球边缘，实现该障碍物的特征提取，为机器人避障提供指导！-Tough transform the use of extract and detect the edge of the ball, the realization of the feature extraction of the obstacles for robot obstacle avoidance to provide guidance!
a
- 基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space o
keypoint
- 自己编写的实现时间序列中的关建点搜索，在相似搜索和分类特征提取中常用,程序中有详细说明-achieve to find out the key point of time series ,it often to be used in similarity search and classification
PSO-SVMface
- 基于PSO训练SVM的人脸识别 利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径-PSO-based SVM for face recognition training using support vector machine learning ability in the performance of good performance, combined with KPCA
218_aubt
- 本代码是基于面部感情特征提取的一种遗传算法，-The code is based on the facial feature extraction of the feelings of a genetic algorithm,
experiments_for_pattern_recognization
- 模式识别的实验书，自学的朋友可以尝试依照要求练习matlab实现模式识别的实验。-Experimental Pattern Recognition book, self-learning can try a friend matlab practice in accordance with the requirements of the experimental realization of pattern recognition.
patternrecognition
- 我们的模式识别作业，C++编的。主要包括特征提取部分，和分类器设计部分。-Pattern Recognition of our work, C++ for the. Including some of the main feature extraction and classifier design part.
FastICA_21
- 快速独立分量变换，可用于信号特征的提取以及端点检测等，非常好用！-Fast independent component transform, can be used for the extraction of signal characteristics, such as endpoint detection, as well as very easy to use!
DetectionLibrary
- Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN
fingerprintmatching
- 实现读取指纹图像，预处理，特征提取与匹配。-Achieve read fingerprint image, preprocessing, feature extraction and matching.
IcaComonMatlab.tar
- 独立成分分析是近年来出现的一种强有力的数据分析工具。1994年由Comon给出了ICA的一个较为严格的数学定义，其思想最早是由Heranlt和Jutten于1986年提出来的。ICA从出现到现在虽然时间不长，然而无论从理论上还是应用上，它正受到越来越多的关注，成为国内外研究的一个热点。特别是从应用角度看，它的应用领域与应用前景都是非常广阔的，目前主要应用于盲源分离、图像处理、语言识别、通信、生物医学信号处理、脑功能成像研究、故障诊断、特征提取、金融时间序列分析和数据挖掘等。 IC
FaceRecognition
- 关于人脸特征提取的最新论文，是研究人脸识别的重要参考资料！-Face feature extraction on the latest paper is to study the face recognition of the important references!
work_for_pattern_recognition
- 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
DTWMFCC
- DTW与MFCC相结合的语音特征提取算法，改进了MFCC的性能-Combination of DTW and the MFCC feature extraction algorithm for voice, improving the performance of MFCC
eigenface_f
- 实现了给予人脸的特征提取与模式识别，是模式识别中比较经典的实例分析-Achieved a given facial feature extraction and pattern recognition, is the more classic examples of pattern recognition analysis of
knnclassification
- 模式识别中，有一类特征提取方法为基于类内内间距离的提取方法，本程序可实现类内内间算法-Pattern recognition, there is a class of feature extraction method based on within-class distance between the extraction methods in this program can be realized within the inter-category algorithm
tezhengtiqu
- 特征提取，主要应用matlab对图像的特征进行提取，获得一些精度。-tezhengtiqu
tztq
- 特征提取的常用方法：如点，线，面特征，论文形式，适用于模式识别。-Commonly used feature extraction methods: such as point, line, surface characteristics, paper forms, applicable to pattern recognition.
patternrecognitionfuzzyclassifiy0912
- 模式分类，提取的新特征，包括熵和尺寸特征，可分性好效果明显-pattern recognition ,new feature incuding entropy and size feature, better performance