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行业发展研究 Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。

Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。使用常用的长宽比作为分类特征,结合角点特征。提高了人车的分类效果。
https://www.eeworm.com/dl/692/438600.html
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其他书籍 a book for learning the bash

a book for learning the bash
https://www.eeworm.com/dl/542/438911.html
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电子书籍 Bardzzo przydatny skrypt do nauki matlaba nie tylko dla pocz膮tkuj膮cych ale r贸wniez dla tych kt贸偶y ch

Bardzzo przydatny skrypt do nauki matlaba nie tylko dla pocz膮tkuj膮cych ale r贸wniez dla tych kt贸偶y chc膮 pog艂臋bi膰 swoj膮 wiedz臋
https://www.eeworm.com/dl/cadence/ebook/439487.html
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matlab例程 AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo fi ...
https://www.eeworm.com/dl/665/439513.html
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人工智能/神经网络 AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
https://www.eeworm.com/dl/650/439518.html
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嵌入式/单片机编程 embedded self learning and practice

embedded self learning and practice
https://www.eeworm.com/dl/647/440035.html
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VC书籍 this step-by-step guide makes learning Borland C++Builder programming a breeze. It鈥檚 the perfect le

this step-by-step guide makes learning Borland C++Builder programming a breeze. It鈥檚 the perfect learning tool for beginning programmers who want to develop their own programming capabilities, and for developers who want to get up-to-speed with C++Builder quickly and easily.
https://www.eeworm.com/dl/686/440451.html
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人工智能/神经网络 Matlab中BP神经网络的构建和初始化训练前馈网络的第一步是建立网络对象。函数newff建立一个可训练的前馈网络。这需要4个输入参数。第一个参数是一个Rx2的矩阵以定义R个输入向量的最小值和最大值。

Matlab中BP神经网络的构建和初始化训练前馈网络的第一步是建立网络对象。函数newff建立一个可训练的前馈网络。这需要4个输入参数。第一个参数是一个Rx2的矩阵以定义R个输入向量的最小值和最大值。第二个参数是一个颟顸每层神经元个数的数组。第三个参数是包含每层用到的转移函数名称的细胞数组。最后一个参数是用到的训练函 ...
https://www.eeworm.com/dl/650/441371.html
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文章/文档 串的模式匹配的朴素算法是O(N^2)的, 可以 利用KMP(由D.E.Knuth, J.H.Morris, V.R.Pratt提出)算法改进至线性的算法. KMP算法与朴素算法的不同在于:处理"失配

串的模式匹配的朴素算法是O(N^2)的, 可以 利用KMP(由D.E.Knuth, J.H.Morris, V.R.Pratt提出)算法改进至线性的算法. KMP算法与朴素算法的不同在于:处理"失配"情况. 不同于将指针完全回溯, KMP算法先根据已经部分匹配的信息, 将匹配的指针跳过不必匹配的位置. ...
https://www.eeworm.com/dl/652/442371.html
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书籍源码 这是书籍《SQL Queries for Mere Mortals(R): A Hands-On Guide to Data Manipulation in SQL 》中文名为《SQL查询凡人入门》的

这是书籍《SQL Queries for Mere Mortals(R): A Hands-On Guide to Data Manipulation in SQL 》中文名为《SQL查询凡人入门》的配套光盘,对于本书第二版《SQL初学者指南》(第二版)也同样适用!
https://www.eeworm.com/dl/532/442582.html
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