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fg-Sample-sourcecode-for-FVC2004-c
- 内容概要: Sample source code - contains C-language skeletons for FVC2004-compliant ENROLL and MATCH programs-outline : Sample source code-contains C-language skele tons for Garbor-compliant ENROLL and MATCH pr ograms
stprtool22oct09
- 基于统计的模式识别工具包The core of the STPRtool is comprised of statistical PR algorithms described in the monograph Schlesinger, M.I., Hlav′aˇc, V: Ten Lectures on Statistical and Structural Pattern Recognition, Kluwer Academic Publishers, 2002-Statistical
Leung10-chinese_critical_region-PR
- 好的字符识别文档，ocr领域很重要的好的字符识别文档，ocr领域很重要的
PatternRecognition
- “模式识别和机器学习”作者是Christooher M. Bishop,是模式识别和人工智能领域比较经典的学习材料。-"pattern recognition and machine learning" writen by Christooher M. Bishop——classical learning material in PR and AI area.
Kernel_Methods_for_Pattern_Analysis.pdf
- 模式识别：核方法，英文版。模式识别类经典外文书籍。PR,ML类必看大作。PDF矢量版。-Kernel Methods for Pattern Analysis
Pattern_Recognition_And_Machine_Learning.pdf
- 模式识别与机器学习，国外经典图书，PDF矢量版，英文版。PR，ML类必看图书-Pattern Recognition And Machine Learning
PCA
- ORL人脸的svd实现PCA主成分提取，并求出人脸均值，直方均衡比较-PR histgram,svd,pca
pr
- 模式识别基本算法，应用与示例程序，matlab-The basic pattern recognition algorithms, applications and sample programs, matlab
pr
- 可用于人脸识别的高位数据的直接LDA算法-Face recognition can be used to direct LDA algorithm for high data
VLPR
- 一个车牌识别系统的例子，可以参考。用c++开发的例子，可以用作人工智能或者模式识别课题的参考-An example of the vehicle plate recognition system. Developed by C++. It can be referenced as a project of PR-AI.
ww
- 车辆牌照识别(LPR)系统是一个专用的计算机视觉系统，LPR系统的广泛应用将有助于加快我国交通管理 自动化的进程。本文对车牌识别系统中的图像预处理、车牌定位、字符分割和字符识别等环节涉及到的技术、算法以 及系统整体设计作了全面的论述，并与已有方案进行了比较，对部分关键算法进行了设计和改进。用采集到的40多 幅汽车图片作为实验样本数据，用纯软件的方法实现了车牌字符的自动识别-As a speclal computer vision system，the License Plate Re
pr
- 对样本数据进行均值聚类、最小距离聚类、最大距离聚类的C++代码-Means clustering on the sample data, the minimum distance clustering, maximum distance the clustering of C++ code
SC12023179--PR
- 多种方法解决小样本分类问题，集成学习和模式识别-A variety of methods to solve the problem of small sample classification
PR
- matlab实现模式识别中的几乎所有算法，希望能为模式识别初学者提供帮助-Matlab implementation of almost all algorithms in pattern recognition, hope to help beginners to pattern recognition