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统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines,
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该源码是手写数字的fisher线性判别。在VC6.0环境下运行，MFC图形化界面，适用于模式识别，人工智能。数字图像处理的参考,The source is a hand-written digit fisher linear discriminant. Run in VC6.0 environment, MFC graphical interface for pattern recognition, artificial intelligence. Digital image processin
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通过Fisher线性判别是否为数字，并识别手写数字。-Through the Fisher Linear Discriminant for figures and handwritten numeral recognition.
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该程序应用fisher线性判别对平面两类问题进行分类，应用迭代寻求最佳投影方向。-Application of the program on fisher linear discriminant plane issues two types of classification, the application of iterative searching for the best projection direction.
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张学工老师模式识别课程二次作业，用fisher线性判别对身高体重二维数据进行性别分类-Zhang engineering curriculum of secondary teachers pattern recognition operations, fisher linear discriminant with two-dimensional data on height and weight, gender-disaggregated
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、改写例程，编制用Fisher线性判别方法对三维数据求最优方向W的通用函数。
2、对下面表3-1样本数据中的类别ω1和ω2计算最优方向W。
3、画出最优方向W的直线，并标记出投影后的点在直线上的位置-Rewriting routine, the preparation of Fisher linear discriminant method using three-dimensional data on the direction of seeking the best general-
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针对多个特征指标的多传感器数据融合问题，将Fisher理论和多数投票法相结合进行数据融合来增加识别率。该方法首先通过Fisher理论得到多个判别函数，然后通过多数投票法继续对得到的判别进行分类得到最后的识别决策。该方法适合多个特征目标识别，计算简单。易于实现-Indicators for multiple features multi-sensor data fusion problem, Fisher majority vote of the Combination of theory and
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模式识别实验验程序
极大似然估计和Fisher线形判别分析-Experimental test procedures for pattern recognition maximum likelihood estimation and Fisher linear discriminant analysis
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3种模板匹配法实现的手写数字识别示例,包括手写数字识别之Fisher线性判别、手写数字识别之模板匹配法、细化算法-Three kinds of template matching to achieve the handwritten numeral recognition examples, including handwritten digit recognition of the Fisher linear discriminant, handwritten numeral recognit
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Fisher、H-K、Perceptron算法实现线性判别函数-Fisher, HK, Perceptron algorithm linear discriminant function
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基本思想是选择使得Fisher准则函数达到极值的向量作为最佳投影方向，从而使得样本在该方向上投影后，达到最大的类间离散度和最小的类内离散度。-Linear Discriminant Analysis (Generally, LDA can also use LGE as a subroutine. However, we can use the special graph structure of LDA to obtain some computational benefits.)
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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
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线性鉴别分析，是信号处理中一种用来筛选所需信号的常用方法。其基本思想是选择使得Fisher准则函数达到极值的向量作为最佳投影方向，从而使得样本在该方向上投影后，达到最大的类间离散度和最小的类内离散度。在Fisher思想的基础上，Wilks和Duda分别提出了鉴别矢量集的概念，即寻找一组鉴别矢量构成子空间，以原始样本在该子空间内的投影矢量作为鉴别特征用于识别。-Linear Discriminant Analysis:Fisher R A. The use of multiple measurem
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将分类器设计问题转化为求准则函数极值的问题了，就可以利用最优化技术解决模式识别问题-Linear discriminant function-Fisher linear discrimination
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脱机字符识别算法，包含手写数字识别之Fisher线性判别，手写数数字识别之模板匹配法，数字识别之神经网络法，细化算法 已通过测试。
-Off-line character recognition algorithm, contains handwritten numeral recognition of the Fisher linear discriminant, the template matching method for handwritten numerals recogniti
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利用fisher线性判别准备进行男女分类的matlab实现代码-Fisher linear discriminant men and women classified
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Matlab写的fisher 分类器,很简单适合初学者，体验机器学习的过程-Fisher Linear Discriminant Analysis in Matlab。It fit the people who learning the Machine Learning at first time.
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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
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模式识别的fisher线性判别分析lda方法-Pattern Recognition fisher linear discriminant analysis lda method
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fisher linear discriminant analysis
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