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JNCA
2007
77views more  JNCA 2007»
15 years 5 months ago
A web content manipulation technique based on page Fragmentation
Web portals today offer a variety of content and services to their users. This content can be split into various categories and usually content semantically related is placed in t...
Christos Bouras, Giorgos Kounenis, Ioannis Misedak...
CN
1998
95views more  CN 1998»
15 years 5 months ago
The Limits of Web Metadata, and Beyond
The World Wide Web currently has a huge amount of data, with practically no classification information, and this makes it extremely difficult to handle effectively. It has been re...
Massimo Marchiori
AMFG
2005
IEEE
293views Biometrics» more  AMFG 2005»
15 years 11 months ago
How to Train a Classifier Based on the Huge Face Database?
The development of web and digital camera nowadays has made it easier to collect more than hundreds of thousands of examples. How to train a face detector based on the collected en...
Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan...
ECAI
2008
Springer
15 years 7 months ago
Reinforcement Learning with Classifier Selection for Focused Crawling
Focused crawlers are programs that wander in the Web, using its graph structure, and gather pages that belong to a specific topic. The most critical task in Focused Crawling is the...
Ioannis Partalas, Georgios Paliouras, Ioannis P. V...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 5 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic