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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
MTA
2007
113views more  MTA 2007»
13 years 7 months ago
A framework for a video analysis tool for suspicious event detection
This paper proposes a framework to aid video analysts in detecting suspicious activity within the tremendous amounts of video data that exists in today’s world of omnipresent su...
Gal Lavee, Latifur Khan, Bhavani M. Thuraisingham
WORM
2004
13 years 9 months ago
WORM vs. WORM: preliminary study of an active counter-attack mechanism
Self-propagating computer worms have been terrorizing the Internet for the last several years. With the increasing density, inter-connectivity and bandwidth of the Internet combin...
Frank Castaneda, Emre Can Sezer, Jun Xu
ITNG
2008
IEEE
14 years 2 months ago
On the Properties of System-Wide Responsive Behavior
High contention of flows is associated with unstable network behavior and unmanageable resource administration, i.e., convergence to equilibrium becomes a difficult task. In this ...
Ageliki Tsioliaridou, Vassilis Tsaoussidis
UAI
1997
13 years 9 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish