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Cooperative-Path-Planning-BBO
基于生物地理学优化的多UCAV协同航迹规划(Cooperative Path Planning for Multi-UCAV Based on Biogeography Based Optimization)
- 2017-05-05 22:14:04下载
- 积分:1
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IEEEgideonhvdc
IEEE关于HVDC接入弱交流系统的报告,对搞电力的人非常有用(IEEE report on HVDC access weak AC system ,it s useful to the people who engage in powersystem)
- 2011-06-28 20:35:12下载
- 积分:1
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Seamless_handover
Seamless handover across Heterogeneous Networks - An IEEE 802.21 Centric Approach.(Seamless handover across heterogeneous N etworks-An IEEE 802.21 Centric Approach.)
- 2007-05-22 16:05:32下载
- 积分:1
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Web-Data-Mining.Bing-Liu
Web数据挖掘(世界著名计算机教材精选),作者BingLiu刘冰
刘兵(BingLiu),伊利诺伊大学芝加哥分校(UIC)教授,他在爱丁堡大学获得人工智能博士学位。刘兵教授是Web挖掘研究领域的国际知名专家,在Web内容挖掘、互联网观点挖掘、数据挖掘等领域有非常高的造诣,他先后在国际著名学术期刊与重要国际学术会议(如KDD、WWW、AAAI、SIGIR、ICML、TKDE等)上发布关于数据挖掘、Web挖掘和文本挖掘论文一百多篇。刘兵教授担任过多个国际期刊的编辑,也是多个国际学术会议(如WWW、KDD与AAAI等)的程序委员会委员。
本书旨在阐述web数据挖掘的概念及其核心算法,使读者获得相对完整的关于web数据挖掘的算法和技术知识。本书不仅介绍了搜索、页面爬取和资源探索以及链接分析等传统的Web挖掘主题,而且还介绍了结构化数据的抽取、信息整合、观点挖掘和Web使用挖掘等内容,这些内容在已有书籍中没有提及过,但它们在Web数据挖掘中却占有非常重要的地位。全书分为两大部分:第一部分包括第2章到第5章,介绍数据挖掘的基础;第二部分包括第6章到第12章,介绍Web相关的挖掘任务。
(Web data mining (world-renowned computer materials selection), the authors BingLiu Liu Bing
Liu Bing (BingLiu), University of Illinois at Chicago (UIC) professor, Ph.D. in Artificial Intelligence at Edinburgh University. Professor Liu Bing is the field of Web mining research internationally renowned expert in Web content mining, Internet, view mining, data mining and other areas have very high attainments, he worked in internationally renowned academic journals and major international conferences (such as KDD, WWW, AAAI, SIGIR, ICML, TKDE, etc.) on the release of data mining, Web mining and text mining papers more than a hundred articles. Professor Liu Bing served as editor of several international journals, but also a number of international conferences (such as WWW, KDD and AAAI, etc.) of the Program Committee.
This book seeks to explain the concept and web data mining of the core algorithm, so that readers gain a relatively complete information on web data mining algorithms )
- 2012-01-14 16:44:09下载
- 积分:1
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top_tides
《浪潮之巅》,作者:吴军,很好的书,写了AT&T、IBM、苹果、英特尔、微软、思科、雅虎、惠普、摩托罗拉等IT巨人的兴衰起落,很有意思!(Summit of the " wave" , author: Wu Jun, a good book, write the rise and fall of the ups and downs of the IT giant AT & T, IBM, Apple, Intel, Microsoft, Cisco, Yahoo, Hewlett-Packard, Motorola, very interesting!)
- 2012-11-30 17:13:54下载
- 积分:1
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kd
说明: Справка по дельфи
на русском языке
- 2009-10-12 17:55:59下载
- 积分:1
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WInternet-From-thing-to-IOT
最新的物联网的前沿研究讨论,对物联网的发展有一定参考意义。(The latest cutting-edge research of Internet of things to discuss, has certain reference significance to the development of the Internet of things.)
- 2013-11-05 12:46:49下载
- 积分:1
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hjk
itroduce hjk sensors and config it
- 2016-10-11 16:46:19下载
- 积分:1
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STK
针对STK(Satellite Tool Kit)软件在军事任务可视化仿真领域中的广泛应用,为充分挖掘
其显示潜能,重点解决了影响其三维场景构建的瓶颈问题,即三维场景数据格式的转换和数据的获取
优化。在分析构建STK 三维场景所需要素及其作用的基础上,分别对地形、地表纹理、三维模型和GIS
等四类数据格式进行分析,并利用多种辅助软件,系统地提出了由较通用格式数据向STK 所支持格式
数据的转换方法,以及在对各类原始数据的获取和转换过程中出现的问题进行处理的优化方法。最后通过实例验证表明该数据格式转换方法和数据优化方法行之有效,三维场景显示效果逼真。(STK (Satellite Tool Kit) software widely used in the field of military tasks, visual simulation, to fully tap its display potential, focus on resolving the bottlenecks that affect the construction of the three-dimensional scene, 3D scene data format conversion and data Get optimization. On the basis of the required elements and their role in the analysis of building STK three-dimensional scene analysis, respectively, of the four types of terrain, surface texture, three-dimensional model and GIS data format and use a variety of assistive software, the system proposed by the more common format The data support the format of the data to STK conversion method, as well as access to various types of raw data and conversion process issues deal with the optimization method. Finally, an example to show that the data format conversion method and data optimization method is effective, realistic three-dimensional scene display.)
- 2012-10-30 10:59:12下载
- 积分:1
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2017年中国计算机视觉行业研究报告
2017年行业状况及预测之后的发展,现在遇到的瓶颈,当前这方面比较好的公司,以及计算机视觉有关的领域(In 2017, the industry situation and the development after prediction, and now faced with bottlenecks, the current relatively good companies, as well as areas related to computer vision.)
- 2018-04-12 22:07:34下载
- 积分:1