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[AI-NN-PR] 用sa进行光谱图像的特征提取的matlab程序 DL : 0: 用sa进行光谱图像的特征提取的matlab程序，该算法比用其他方法在性能方面高%15-with spectral images of the Matlab feature extraction procedure, the algorithm than other methods in high-performance
Date : 2026-01-10 Size : 42kb User : 李冰龙
[AI-NN-PR] LDAandPCA DL : 0: 站长！这是使用LDA和PCA模式识别方法对人脸特征进行提取计算的Matlab程序框架，比较好！-head! This is the LDA and the use of pattern recognition methods on PCA Facial Feature Extraction for the Matlab program, good!
Date : 2026-01-10 Size : 3kb User : Jesson
[AI-NN-PR] Matlab_ToolBox(MachineVision) DL : 0: 来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in computer vision, machine vision and related areas. It is a somewhat eclectic collection reflecting the author s personal interest in areas of photometry, photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation, feature extraction, camera calibration, camera exterior orientation, display, color space conversion and blackbody radiators. The Toolbox, combined with MATLAB and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms. It is possible to use MEX files to interface with image acquisition hardware ranging from simple framegrabbers to Datacube servers.-from Australia Qeensland University of Computer Vision Matlab toolbox. This Toolbox provides a number of functions tha t are useful in computer vision, machine vision and related areas. It is a somewh at eclectic collection reflecting the author's personal interest in areas of photometry. photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation and feature extraction. camera calibration. camera exterior orientation, display, color space conversion and blackbody radiator s. The Toolbox. MATLAB and combined with a modern workstation c omputer. is a useful and convenient environment for OAS stigation of machine vision algorithms. It is p ossible to use MEX files to interface with image acquisition hardware ranging from simple fram eg
Date : 2026-01-10 Size : 2.35mb User : 杨愚根
[AI-NN-PR] SIFT-06-10-21 DL : 0: 去年暑假编的SIFT特征提取算法，步骤作了详细叙述，其中用到几个OPENCV读取图片函数。解压密码jlh。-last summer addendum to the sciences feature extraction algorithm, described in detail the steps, Some of them used to read Photo OPENCV function. Jlh extract passwords.
Date : 2026-01-10 Size : 13kb User :
[AI-NN-PR] Boosting-beta2 DL : 0: AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
Date : 2026-01-10 Size : 1.1mb User : njustyw
[AI-NN-PR] masm-src-1.5.tar DL : 0: 这是个人脸识别程序，是关于人脸特征提取的。-This is a face recognition program, on the facial feature extraction.
Date : 2026-01-10 Size : 8.63mb User : 户利利
[AI-NN-PR] fdp5final DL : 0: 该程序对于实现人脸特征线条提取的，效果不错。-The procedure for the realization of facial feature extraction lines, and good results.
Date : 2026-01-10 Size : 158kb User : 户利利
[AI-NN-PR] Birch.tgz DL : 0: Birch:这是一种综合的层次聚类的方法，它介绍了两个概念，聚类特征和聚类特征树，它们是用来表示聚类的。这些结构能够帮助聚类方法能运行得更快，能够处理大数据量。-Birch: It is a comprehensive hierarchical clustering method, it introduces two concepts, clustering features and clustering feature tree, which is used to express clustering. These structures can help clustering method can run faster, can handle large volume of data.
Date : 2026-01-10 Size : 254kb User : 达达幽
[AI-NN-PR] Haar-Liketezheng DL : 0: 自已写的Adaboost使用Haalike feature，去Detection-Adaboost use their own written Haalike feature, to Detection
Date : 2026-01-10 Size : 9kb User : 博邻
[AI-NN-PR] 20081022 DL : 0: 基于人工神经网络的图像识别方法研究。基于神经网络的人脸检测研究。基于特征融合与神经网络的手写体数字识别技基于遗传神经网络的手写体数字识别研究术研究。基于遗传优化的神经网络的银行票据手写数字识别。一种改进的人工神经网络模型-Based on artificial neural network image recognition method. Neural Network Based Face Detection Research. Based on Feature Fusion and Neural Network Recognition of Handwritten Numerals Based on Genetic Neural Network Technology of handwritten numeral recognition technique research study. Optimization based on genetic neural network bank notes handwritten numeral recognition. An Improved Artificial Neural Network Model
Date : 2026-01-10 Size : 13.24mb User : cheng
[AI-NN-PR] tezhengxuanzhe DL : 0: 利用最小互信息实现向量的特征选择，优化分类器的设计，原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
Date : 2026-01-10 Size : 1kb User : 王将
[AI-NN-PR] featureExtraction DL : 0: 该程序包实现了模式识别中的两个特征提取算法，主成分分析PCA和线性判别分析LDA。采用C++语言编写，开发环境VS。程序包还提供了两个测试样本文件。-The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysis LDA. Using C++ language, development environment VS. Package also provides two test samples.
Date : 2026-01-10 Size : 45kb User : tangxiaojun
[AI-NN-PR] neuralnetwork DL : 0: 用于图像识别的新型神经元网络提出了一种用于图像识别的映封正交神经元网络。在一般情况下待识别的样本空间的维数相当大, 为了有效地进行识别,必须把样本空间的维数降下来。目前常用的方法就是特征提取法,本文采用映射正交过程把样本空间映射成正交分类空间,并在此基础上,采用网络进行图像分类。计算机上模拟结果表明此网络县有时缺损和噪声图像进行正确识别的能力-Image recognition for a new type of neural network used in a video image recognition of the orthogonal neural network closure. In general, the sample space to be recognition of the considerable dimensions, in order to effectively identify, must be the dimension of sample space down. Commonly used method at present is the feature extraction method, this paper, the process of mapping the sample space orthogonal mapping classification into orthogonal space, and on this basis, the use of network image classification. Computer simulation results show that the county and sometimes the network image defects and noise of the ability to correctly identify
Date : 2026-01-10 Size : 431kb User : wang kun
[AI-NN-PR] patternRecognition DL : 0: 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability density function, linear discriminant function, the neighboring rules, feature selection and extraction, non-supervised learning, neural networks, fuzzy pattern recognition and so on.
Date : 2026-01-10 Size : 13.12mb User : yrw
[AI-NN-PR] 218_aubt DL : 0: 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,
Date : 2026-01-10 Size : 4.62mb User : yinglun
[AI-NN-PR] GASVM DL : 2: 用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集，并完成归一化操作-Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run directly. UCI data sets used in the german data set, and complete normalization operation
Date : 2026-01-10 Size : 136kb User : 覃茂运
[AI-NN-PR] mRMRFeatureSelection DL : 0: mRMR_0.9_compiled最小冗余和最大相关特征选取源代码，-This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method, whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent publications. This version uses mutual information as a proxy for computing relevance and redundancy among variables (features). Other variations such as using correlation or F-test or distances can be easily implemented within this framework, too.
Date : 2026-01-10 Size : 997kb User : 韩华
[AI-NN-PR] DCT DL : 0: 本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和BP神经网络分类器，同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器，并对BP神经网络进行分类的算法进行设计，BP神经网络具有学习功能，只要采用本系统对训练图片进行训练，就可以记下图像的相关信息，对于测试图片，就可以很准确的识别出该图片是属于哪个的。最后，本文对整个人脸识别系统设计实验进行了实验分析，实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura
Date : 2026-01-10 Size : 413kb User : 刘文珍
[AI-NN-PR] Alaa_Box_sent DL : 0: This toolBox used in the image processing(feature extraction and classification)
Date : 2026-01-10 Size : 70kb User : lin
[AI-NN-PR] Feature Selection matlab toolbox DL : 0: It's a Matlab toolbox designed by ASU. It is easy to use and you can use it to achieve the feature selection, classify and so on.
Date : 2026-01-10 Size : 8.5mb User : liang911

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