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ZJDA_tEAM
浙江大学研究团队介绍,各位大牛可以看看,能提高自己的见识和阅读水平(Zhejiang University research team, you can look at the big bull, can improve their knowledge and reading level)
- 2015-06-10 13:43:24下载
- 积分:1
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[图灵程序设计丛书].Python机器学习经典实例
机器学习的实践书,图灵程序设计用书。有需要的可以学习一下(Practice book of machine learning)
- 2019-03-22 09:40:40下载
- 积分:1
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python爬虫小程序
用python编的爬虫小程序,希望大家喜欢,谢谢大家!(python internet reptile book)
- 2020-06-22 20:20:01下载
- 积分:1
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4
说明: C++ is considered by many to be among the most widely used and powerful
object-oriented programming language in industry today. This book is for people
who are interested in learning and exploring C++ programming in a fresh and
enjoyable environment where programs are developed to interface with real world
devices. Other people may leave learning C++ for a later time, instead choosing to
interact with various hardware devices by simply running the fully developed
programs supplied with this book.
- 2010-09-14 21:36:56下载
- 积分:1
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CPP
C++专有名词中英对照表,珍藏很久了,需要的拿去(C++ chinese english)
- 2014-06-26 02:17:44下载
- 积分:1
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Jouini_soufien
Ericsson 3G Trial Network Optimization
- 2014-01-12 02:48:12下载
- 积分:1
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houheixue
说明: 厚黑学,一本非常好的书。对于您的成功将起来很大的帮助(Thick black school, a very good book. For your success will be of great help to them)
- 2008-09-02 17:02:34下载
- 积分:1
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ubi-user
UBI device creation (the same as MTD device attachment).
- 2015-09-26 12:58:01下载
- 积分:1
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Dreamweaverbook
介绍如何使用 Macromedia Dreamweaver MX 2004,其对象是对该软件的主要特
性尚不熟悉的用户。本指南中的教程将引导您完成创建一个简单但具备一定功能的 Web 站点的过程(How to use Macromedia Dreamweaver MX 2004, its object is the main features of the software is not yet familiar with the user. Tutorial in this guide will walk you through creating a simple but functional Web site with a certain process)
- 2010-06-14 11:06:27下载
- 积分:1
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Ballot
This thesis relates to the design, implementation and evaluation of statis¬ tical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained.
- 2010-05-10 01:15:05下载
- 积分:1