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» Maximum Margin Ranking Algorithms for Information Retrieval
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CIKM
2009
Springer
14 years 2 months ago
Vetting the links of the web
Many web links mislead human surfers and automated crawlers because they point to changed content, out-of-date information, or invalid URLs. It is a particular problem for large, ...
Na Dai, Brian D. Davison
CIKM
2010
Springer
13 years 5 months ago
From exploratory search to web search and back
The power of search is with no doubt one of the main aspects for the success of the Web. Currently available search engines on the Web allow to return results with a high precisio...
Roberto Mirizzi, Tommaso Di Noia
IRI
2005
IEEE
14 years 1 months ago
Handling missing values via decomposition of the conditioned set
In this paper, a framework for replacing missing values in a database is proposed since a real-world database is seldom complete. Good data quality in a database can directly impr...
Mei-Ling Shyu, Indika Kuruppu-Appuhamilage, Shu-Ch...
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 7 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
MIR
2004
ACM
125views Multimedia» more  MIR 2004»
14 years 1 months ago
Autonomous visual model building based on image crawling through internet search engines
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun