高級(jí)樹(shù),介紹各種高級(jí)樹(shù)的原理,如B+樹(shù),策略樹(shù),等
上傳時(shí)間： 2014-01-01
上傳用戶(hù)：牛布牛
本程序使用于愛(ài)思51-B型高級(jí)用戶(hù)板功能測(cè)試及演示,是用asm寫(xiě)的，有要的朋友可以下下，
上傳時(shí)間： 2015-08-26
上傳用戶(hù)：lmeeworm
本文開(kāi)發(fā)了一套基于J2EE技術(shù)的新兵思想評(píng)估系統(tǒng)。該系統(tǒng)基于多層B／S軟件架構(gòu)，提高了系統(tǒng)的穩(wěn)定性、靈活性及安全性；通過(guò)使用UML的系統(tǒng)分析，MVC、DAO等設(shè)計(jì)模式及面向?qū)ο螅ǎ郑茫┑脑O(shè)計(jì)和開(kāi)發(fā)，采用Spring、Hibernate、WebWork等框架技術(shù)，提高了開(kāi)發(fā)的效率，為相關(guān)系統(tǒng)的設(shè)計(jì)開(kāi)發(fā)探索了一條新思路。
標(biāo)簽： J2EE 評(píng)估系統(tǒng) 多層
上傳時(shí)間： 2013-12-24
上傳用戶(hù)：gxf2016
高斯亞當(dāng)消去法 GAUSSJ(A[],N,B[])用這個(gè)子過(guò)程實(shí)現(xiàn)高斯亞當(dāng)消去法
上傳時(shí)間： 2015-08-29
上傳用戶(hù)：541657925
生產(chǎn)排程計(jì)劃的一份源碼.JAVA.B/S結(jié)構(gòu)的。希望對(duì)一部分人有幫助
上傳時(shí)間： 2015-08-30
上傳用戶(hù)：小草123
BackProp算法：經(jīng)典的B-P算法.
上傳時(shí)間： 2014-11-22
上傳用戶(hù)：xc216
by Randal L. Schwartz and Tom Phoenix ISBN 0-596-00132-0 Third Edition, published July 2001. (See the catalog page for this book.) the text of Learning Perl, 3rd Edition. Table of Contents Copyright Page Preface Chapter 1: Introduction Chapter 2: Scalar Data Chapter 3: Lists and Arrays Chapter 4: Subroutines Chapter 5: Hashes Chapter 6: I/O Basics Chapter 7: Concepts of Regular Expressions Chapter 8: More About Regular Expressions Chapter 9: Using Regular Expressions Chapter 10: More Control Structures Chapter 11: Filehandles and File Tests Chapter 12: Directory Operations Chapter 13: Manipulating Files and Directories Chapter 14: Process Management Chapter 15: Strings and Sorting Chapter 16: Simple Databases Chapter 17: Some Advanced Perl Techniques Appendix A: Exercise Answers Appendix B: Beyond the Llama Index Colophon
標(biāo)簽： L. published Schwartz Edition
上傳時(shí)間： 2014-11-29
上傳用戶(hù)：kr770906
by Randal L. Schwartz and Tom Phoenix ISBN 0-596-00132-0 Third Edition, published July 2001. (See the catalog page for this book.) Learning Perl, 3rd Edition. Table of Contents Copyright Page Preface Chapter 1: Introduction Chapter 2: Scalar Data Chapter 3: Lists and Arrays Chapter 4: Subroutines Chapter 5: Hashes Chapter 6: I/O Basics Chapter 7: Concepts of Regular Expressions Chapter 8: More About Regular Expressions Chapter 9: Using Regular Expressions Chapter 10: More Control Structures Chapter 11: Filehandles and File Tests Chapter 12: Directory Operations Chapter 13: Manipulating Files and Directories Chapter 14: Process Management Chapter 15: Strings and Sorting Chapter 16: Simple Databases Chapter 17: Some Advanced Perl Techniques Appendix A: Exercise Answers Appendix B: Beyond the Llama Index Colophon
標(biāo)簽： L. published Schwartz Edition
上傳時(shí)間： 2015-09-03
上傳用戶(hù)：lifangyuan12
Implemented BFS, DFS and A* To compile this project, use the following command: g++ -o search main.cpp Then you can run it: ./search The input is loaded from a input file in.txt Here is the format of the input file: The first line of the input file shoud contain two chars indicate the source and destination city for breadth first and depth first algorithm. The second line of input file shoud be an integer m indicate the number of connections for the map. Following m lines describe the map, each line represents to one connection in this form: dist city1 city2, which means there is a connection between city1 and city2 with the distance dist. The following input are for A* The following line contains two chars indicate the source and destination city for A* algorithm. Then there is an integer h indicate the number of heuristic. The following h lines is in the form: city dist which means the straight-line distance from the city to B is dist.
標(biāo)簽： Implemented following compile command
上傳時(shí)間： 2014-01-01
上傳用戶(hù)：lhc9102
1.24位真彩色->256色灰度圖。 2.預(yù)處理:中值濾波。 3.二值化:用一個(gè)初始閾值T對(duì)圖像A進(jìn)行二值化得到二值化圖像B。 初始閾值T的確定方法是:選擇閾值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分別是最高、最低灰度值。 該閾值對(duì)不同牌照有一定的適應(yīng)性,能夠保證背景基本被置為0,以突出牌照區(qū)域。 4.削弱背景干擾。對(duì)圖像B做簡(jiǎn)單的相鄰像素灰度值相減,得到新的圖像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左邊緣直接賦值,不會(huì)影響整體效果。 5.用自定義模板進(jìn)行中值濾波 區(qū)域灰度基本被賦值為0。考慮到文字是由許多短豎線(xiàn)組成,而背景噪聲有一大部分是孤立噪聲,用模板(1,1,1,1,1)T對(duì)G進(jìn)行中值濾波,能夠得到除掉了大部分干擾的圖像C。 6.牌照搜索:利用水平投影法檢測(cè)車(chē)牌水平位置,利用垂直投影法檢測(cè)車(chē)牌垂直位置。 7.區(qū)域裁剪,截取車(chē)牌圖像。
上傳時(shí)間： 2014-01-08
上傳用戶(hù)：songrui
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