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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
CIVR
2010
Springer
204views Image Analysis» more  CIVR 2010»
13 years 11 months ago
Utilizing related samples to learn complex queries in interactive concept-based video search
One of the main challenges in interactive concept-based video search is the insufficient relevant sample problem, especially for queries with complex semantics. To address this pr...
Jin Yuan, Zheng-Jun Zha, Zhengdong Zhao, Xiangdong...
EAAI
2006
157views more  EAAI 2006»
13 years 8 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
WWW
2003
ACM
14 years 8 months ago
Mining topic-specific concepts and definitions on the web
Traditionally, when one wants to learn about a particular topic, one reads a book or a survey paper. With the rapid expansion of the Web, learning in-depth knowledge about a topic...
Bing Liu, Chee Wee Chin, Hwee Tou Ng
IJCAI
2007
13 years 9 months ago
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination
A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. It is commonly asserted that in order to ...
Mohan Sridharan, Peter Stone