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svmlecture1
- 支持向量机-近红外光谱法用于真假奶粉的判别，是一篇论文-SVM - Near Infrared Spectroscopy for the real discriminant formula is a thesis
Discriminantanalysisandclusteranalysis
- 本文档包括了对软件中用到的多元统计分析中判别分析与聚类分析的主要方法(包括距离判别分析,费希尔判别分析,贝叶斯判别分析,逐步判别分析及聚类分析)原理及在本软件中使用的基本方法与设计流程图进行了详尽的阐释,在通过本文档的阅读对软件有一个总体的了解后再确定您要使用的分析方法-This document includes the software used in multivariate statistical analysis of discriminant analysis and cluster
An_Optimal_Transformation_for_LDA_and_PCA
- 介绍结合LDA与PCA算法的优化分类方法，提出了一般情况下LDA及PCA的计算方法-An Optimal Transformation for Discriminant and Principal Component Analysis
report
- 本文采用最小平方误差准则(MSE准则)通过训练样本集建立线性判别函数，并用线性判别函数去判断测试集。 实验报告-In this paper, the least square error criterion (MSE criterion) the training sample set by a linear discriminant function, and a linear discriminant function to determine the test set. Expe
UKF
- 从改进提议分布的成片野值容错能力入手，提出了基于残差正交判别的UPF容错滤波算法，该算 法将残差正交判别法UKF的野值自适应性和粒子滤波的“适者生存性”有机地结合起来．通过非线性状态估计 的实验，证实了这种新的自适应粒子滤波对成片野值处理的有效性，-Proposal from the improved value of the distribution of fault tolerance into the film field, put forward an identificatio
lda_theory
- This all about Linear Discriminant Analysis-This is all about Linear Discriminant Analysis
Multivariate-Data-Analysis-Using-Spss(17)
- A Guide to Multivariate Techniques Preparation for Statistical Analysis Review: ANOVA Review: ANCOVA MANOVA MANCOVA Repeated Measure Analysis Factor Analysis Discriminant Analysis Cluster Analysis
Improvements-of-object-detection
- 通过fisher对hog特征降维，并用于物体检测-We present a method for object detection that combines AdaBoost learning with local histogram features. On the side of learning we improve the performance by designing a weak learner for multi-valued features based on Weighte
Gabor-Magnitude-and-Phase-for-Face
- This paper proposes local Gabor XOR patterns (LGXP), which encodes the Gabor phase by using the local XOR pattern (LXP) operator. Then, we in-troduce block-based Fisher’s linear discriminant (BFLD) to reduce the dimensionality of the proposed des
svm
- SVM的理论基础 线性判别函数和判别面 最优分类面 支持向量机 LIBSVM简介-The theoretical basis of the SVM linear discriminant function and discriminant surface optimal hyperplane Support Vector Machines LIBSVM Profile
Fisher-de-Matlab
- 应用Firsher线性判别器在matlab环境中实现模式识别的分类，简单直接，望采纳-Pattern recognition classification application Firsher linear discriminant in the Matlab environment is simple and direct, looking to adopt
fisher-de-matlab
- 文本挡的firsher线性判别器是最简单的模式识别分类，在这里用了matlab进行了编程-Text the gear firsher linear discriminant is the most simple pattern recognition classification, where the Matlab programming
image-pattern-recognition
- 文章拟采用机油和油菜的高光谱图像数据为具体对象，分别从光谱特性分析和图像特性分析两个角度，采用流形学习方法探索一种从非线性高光谱图像数据中提取低维本质信息的方法，结合支持向量机、线性判别分析等模式识别方法建立机油品种和油菜品种的识别模型 -Article intends to adopt oil and rapeseed hyperspectral image data for a specific object, respectively, from the spectral chara
Cost
- COST-SENSITIVE SEMI-SUPERVISED DISCRIMINANT ANALYSIS FOR FACE RECOGNITION Abstract: In our Project, we present a cost-sensitive semi-supervised discriminant analysis method for face recognition. In previous methods of dimensionality reductio
LDA
- LDA线性判别分析算法，用于图像处理中的数据降维方法-LDA linear discriminant analysis algorithm, dimensionality reduction method used for image processing of data
HDclassif
- R 语言中高维聚类package，方便快捷-Discriminant analysis and data clustering methods for high dimensional data, based on the assumption that high-dimensional data live in different subspaces with low dimensionality proposing a new parametrization of the Gauss
binary-LDA
- Linear Discriminant analysis
5207
- 最小均方误差（MMSE）的算法，Gabor小波变换与PCA的人脸识别代码，模式识别中的bayes判别分析算法。- Minimum mean square error (MMSE) algorithm, Gabor wavelet transform and PCA face recognition code, Pattern Recognition bayes discriminant analysis algorithm.
qou_rx61
- 在MATLAB中求图像纹理特征，模式识别中的bayes判别分析算法，ICA（主分量分析）算法和程序。- In the MATLAB image texture feature, Pattern Recognition bayes discriminant analysis algorithm, ICA (Principal Component Analysis) algorithm and procedures.
kaipouhiu
- 包括随机梯度算法，相对梯度算法，使用matlab实现智能预测控制算法，模式识别中的bayes判别分析算法。- Including stochastic gradient algorithm, the relative gradient algorithm, Use matlab intelligent predictive control algorithm, Pattern Recognition bayes discriminant analysis algorithm.