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» Word Importance Discrimination Using Context Information
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WWW
2011
ACM
14 years 5 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
CVPR
2007
IEEE
16 years 1 days ago
Incorporating On-demand Stereo for Real Time Recognition
A new method for localising and recognising hand poses and objects in real-time is presented. This problem is important in vision-driven applications where it is natural for a use...
Thomas Deselaers, Antonio Criminisi, John M. Winn,...
ICB
2007
Springer
239views Biometrics» more  ICB 2007»
15 years 4 months ago
Uniprojective Features for Gait Recognition
Recent studies have shown that shape cues should dominate gait recognition. This motivates us to perform gait recognition through shape features in 2D human silhouettes. In this pa...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
BIS
2010
246views Business» more  BIS 2010»
14 years 11 months ago
On the Cognitive Effectiveness of Routing Symbols in Process Modeling Languages
Abstract. Process models provide visual support for analyzing and improving complex organizational processes. In this paper, we discuss differences of process modeling languages us...
Kathrin Figl, Jan Mendling, Mark Strembeck, Jan Re...
SAC
2009
ACM
15 years 4 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan