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» Using model knowledge for learning inverse dynamics
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CVPR
2010
IEEE
14 years 4 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
CNSR
2004
IEEE
131views Communications» more  CNSR 2004»
14 years 11 days ago
Fast Flow Classification over Internet
In order to control and manage highly aggregated Internet traffic flows efficiently, we need to be able to categorize flows into distinct classes and to be knowledgeable about the...
A. Oveissian, Kavé Salamatian, Augustin Sou...
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
14 years 9 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
ITNG
2007
IEEE
14 years 2 months ago
Software Reuse: Research and Practice
— It has been almost four decades since the idea of software reuse was proposed. Many success stories have been told, yet it is believed that software reuse is still in the devel...
Sajjan G. Shiva, Lubna Abou Shala
CIKM
2007
Springer
14 years 2 months ago
The role of documents vs. queries in extracting class attributes from text
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
Marius Pasca, Benjamin Van Durme, Nikesh Garera