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CIKM
2010
Springer
15 years 6 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
JUCS
2010
96views more  JUCS 2010»
15 years 5 months ago
Multi-Level Context Management and Inference Framework for Smart Telecommunication Services
: Telco operators and other players are searching for intelligent value-added services, i.e., communication applications that take advantage of the huge amount of user data availab...
Carlos Baladrón Zorita, Alejandro Cadenas, ...
COMAD
2008
15 years 8 months ago
CUM: An Efficient Framework for Mining Concept Units
Web is the most important repository of different kinds of media such as text, sound, video, images etc. Web mining is the process of applying data mining techniques to automatica...
Santhi Thilagam
CVPR
2003
IEEE
16 years 9 months ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
CVPR
2006
IEEE
16 years 1 months ago
Robust multi-target tracking using spatio-temporal context
In multi-target tracking, the maintaining of the correct identity of targets is challenging. In the presented tracking method, accurate target identification is achieved by incor...
Hieu Tat Nguyen, Qiang Ji, Arnold W. M. Smeulders