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MM
2004
ACM
124views Multimedia» more  MM 2004»
16 years 6 days ago
An online-optimized incremental learning framework for video semantic classification
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Jun Wu, Xian-Sheng Hua, HongJiang Zhang, Bo Zhang
WEBDB
2004
Springer
170views Database» more  WEBDB 2004»
16 years 3 days ago
Content and Structure in Indexing and Ranking XML
Rooted in electronic publishing, XML is now widely used for modelling and storing structured text documents. Especially in the WWW, retrieval of XML documents is most useful in co...
Felix Weigel, Holger Meuss, Klaus U. Schulz, Fran&...
CIKM
2011
Springer
14 years 6 months ago
Ranking-based processing of SQL queries
A growing number of applications are built on top of search engines and issue complex structured queries. This paper contributes a customisable ranking-based processing of such qu...
Hany Azzam, Thomas Roelleke, Sirvan Yahyaei
SIGIR
2012
ACM
13 years 9 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
CVPR
2011
IEEE
15 years 2 months ago
Simulating Human Saccadic Scanpaths on Natural Images
Human saccade is a dynamic process of information pursuit. Based on the principle of information maximization, we propose a computational model to simulate human saccadic scanpath...
Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang,...