101.txt

This complete matlab for neural network

发信人: ashun (阿顺), 信区: DataMining
标  题: 一篇Osmar Rachid Zaiane的博士论文
发信站: 南京大学小百合站 (Tue Sep 11 10:55:56 2001)

【位置】www登陆，版内“文件上载”处。 由于文件比较大（3MB多），我用winzip分割成
三个文件（Osmar.zip、1000176541Osmar.zip、1000176601Osmar.zip ）。下载时请准备
三张好软盘，并将文件名都改为Osmar.zip，解压时从第一张盘开始，按提示做即可。

【Title】RESOURCE AND KNOWLEDGE DISCOVERY FROM THE INTERNET AND MULTIMEDIA REP
OSITORIES 

【Note】a thesis submitted in partial fulfillment of the requirements for the 
degree of Doctor of Philosophy in the School of Computing Science 
 Osmar Rachid Zaiane 1999 SIMON FRASER UNIVERSITY March 1999 
    All rights reserved. This work may not be reproduced in whole or in part, 
by photocopy or other means, without the permission of the author. 

【Abstract】There is a massive increase of information available on electronic
 networks. This profusion of resources on the World-Wide Web gave rise to onsi
derable interest in the research community. Traditional information retrieval 
techniques have been applied to the document collection on the Internet, and a
 panoply of search engines and tools have been proposed and implemented. Howev
er, the effectiveness of these tools is not satisfactory. None of them iscapab
le of discovering knowledge from the Internet. The Web is still evolving at an
 alarming rate. In a recent report on the future of database research known as
 the Asilomar Report, it has been predicted that in ten years from now, the ma
jority of human information will be available on the World-Wide Web, and it ha
s been observed that the database research community has contributed little to
 the Web thus far. 
In this work we propose a structure, called a Virtual Web View, on top of the 
existing Web. Through this virtual view, the Web appears more structured, and 
common database technology is applied. The construction and maintenance of thi
s structure is scalable and does not necessitate the large bandwidth current s
earch engines technologies require. 
A declarative query language for information retrieval and networked tool prog
ramming is proposed that takes advantage of this structure to discover resourc
es as well as implicit knowledge buried in the World-Wide Web. 
Large collections of multimedia objects are being gathered for a myriad of app
lications. The use of on-line images and video streams is becoming commonplace
. The World-Wide Web, for instance, is a colossal aggregate of multimedia arti
facts. However, finding pertinent multimedia objects in a large collection is 
a difficult task. Images and videos often convey even more information than th
e text documents in which they are contained. Data mining from such a multimed
ia corpus can lead to interesting discoveries. 
We propose the extraction of visual descriptors from images and video sequence
s for content-based visual media retrieval, and the construction of multimedia
 data cubes which facilitate multiple dimensional analysis of multimedia data,
 and the mining of multiple kinds of knowledge, including summarization, class
ification, and association, in image and video databases. 
--
业精于勤荒于嬉，行成于思毁于随。 —— 韩愈
临渊羡鱼不如退而结网。           —— 班固
勿以恶小而为之，勿以善小而不为。 —— 刘备

※ 来源:．南京大学小百合站 http://bbs.nju.edu.cn [FROM: 202.119.80.20]
※ 修改:．ashun 於 Sep 11 10:57:33 修改本文．[FROM: 202.119.94.53]