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找到约 287 项符合 Recognition 的查询结果

matlab例程 Character Recognition Example (I&II)- Pre-processing of Image (Matlab Code)

Character Recognition Example (I&II)- Pre-processing of Image (Matlab Code)
https://www.eeworm.com/dl/665/161506.html
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编译器/解释器 ANTLR(ANother Tool for Language Recognition)它是这样的一种工具

ANTLR(ANother Tool for Language Recognition)它是这样的一种工具,它可以接受词文法语言描述,并能产生识别这些语言的语句的程序。作为翻译程序的一部分,你可以使用简单的操作符和动作来参数化你的文法,使之告诉ANTLR怎样去创建抽象语法树(AST)和怎样产生输出。ANTLR知道怎样去生成识别程序,语言包括Java,C++,C#. ...
https://www.eeworm.com/dl/628/183674.html
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压缩解压 Handwritten digital recognition is made by matlab nerve network toolbox in visual c++.net

Handwritten digital recognition is made by matlab nerve network toolbox in visual c++.net
https://www.eeworm.com/dl/617/193080.html
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其他 Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition

Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
https://www.eeworm.com/dl/534/351169.html
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其他嵌入式/单片机内容 This source code is for using CM8880 generator and recognition phone pulses and calling algoritm for

This source code is for using CM8880 generator and recognition phone pulses and calling algoritm for pic 16f877
https://www.eeworm.com/dl/687/430285.html
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人工智能/神经网络 Adaline Network Pattern Recognition 人工智能人工神经网络源码

Adaline Network Pattern Recognition 人工智能人工神经网络源码
https://www.eeworm.com/dl/650/100655.html
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单片机开发 Face recognition based on PCA. A complete system and related introduction! Maybe it can help you!

Face recognition based on PCA. A complete system and related introduction! Maybe it can help you!
https://www.eeworm.com/dl/648/311755.html
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其他 《Neural Networks for vice recognition》神经网络用于语音识别的英文资料

《Neural Networks for vice recognition》神经网络用于语音识别的英文资料
https://www.eeworm.com/dl/534/331346.html
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其他 pattern recognition中多类分类问题的GAMLS通用学习系统框架

pattern recognition中多类分类问题的GAMLS通用学习系统框架
https://www.eeworm.com/dl/534/367067.html
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matlab例程 统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含: 1

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
https://www.eeworm.com/dl/665/428849.html
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