中国科学院大学知识图谱课程课件全集2018（赵军，增加最新事件推理2019）.rar

MOEA/D with Adaptive Weight Adjustment 基于分解的动态权重算法

站里这方面资源不多，特别是种子区域生长方面的很少，上传一个算一个吧rightnumleftnuIm percent2()Ivaluerightnumipercent2(rvalue)pm= lvalue/‖P‖,pma= rvalue/‖P‖‖Pwindows xpMATLAB (R2008aOtsa.RlenI=ll, Rlen2=60, percent1=55%c, percent270%b. Rlenl=ll, Rlen2=80, percent1=50%, percent2=94%c.Rlen1-1l, Rlen2-100 percent1-65%. percent2-80%d. Rlen1-1l, Rlen2-=80, percent1=60%. percent2-83%2cent 1percent2Percentppercent 13C1994-2012ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhtlp://www.cnki.net[J]2007,29(6):854-857[J]26(2):93-962010,45(7):76-80[JI.1963:1l5-12005,26(11):[J],2005,17(1):1-3Research on the improved algorithm and application ofseed region growth method and its sail image extrationYAN Shen-hai, HUANG Xian-tong, LIU Yang(School of Mathematics Computer Science, Gannan Normal University, Ganzhou 341000, Jiangxi, ChinaAbstract: Seeded region growing is a common method of image segmentation. Its performance depends largelyon the seleclion of seed points and growth rules. In order Lo extract snail images with such methods more effectively.The article analyzes the basic idea of the seeded region growing method(SRG) and presents an improved seededregion growing method (ISRG) which is used to extract the snail images. In ISRG, novel similarities rules and anew dynamic threshold method are adopted. For the complex and various habitat of snail, ISRG selects the region growing seed points manually. It is demonstrated by experimental results that ISRG can achieve better snailimage extraction results under the complicated real-world sceneKey words: seeded region growing (SRG; image extraction; dynamic threshold; snail(E D:X, JC1994-2012ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhtlp://www.cnki.net

完整的直流电机PID控制算法，控制程序 采用闭环控制

自动化，仪器仪表，热工人员调节阀设计计算软件

基于MATLAB的语音识别简明代码（完整版），VQ，LBG，包括语音库。

fast-folding算法是复杂网络当中进行社团划分简单高效也是应用最广泛的算法，代码包可以直接通过Python进行安装使用。

本人MIMO系统课程设计，不同信噪比，收发天线组合下信道容量仿真，全，简单，帮助你了解MIMO系统

【实例简介】生成式对抗攻击。GAN代码。有解释，比较不错的初学者入门学习资资料。

根据上次的点云粗配准，对点云进行完全配准，并且计算分析误差。主要包括NDT、3Dsc、FPFH、PFH几种算法比较。

本工程在vs2010下使用opencv进行读取usb摄像头视频数据并实现抓图