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CVPR
2010
IEEE
15 years 11 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
RECOMB
2010
Springer
15 years 10 months ago
Incremental Signaling Pathway Modeling by Data Integration
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
Geoffrey Koh, David Hsu, P. S. Thiagarajan
ACCV
2006
Springer
15 years 9 months ago
Dense Motion and Disparity Estimation Via Loopy Belief Propagation
We describe a method for computing a dense estimate of motion and disparity, given a stereo video sequence containing moving non-rigid objects. In contrast to previous approaches, ...
Michael Isard, John MacCormick
JCSS
2008
90views more  JCSS 2008»
15 years 3 months ago
Fault tolerance in cellular automata at high fault rates
A commonly used model for fault-tolerant computation is that of cellular automata. The essential difficulty of fault-tolerant computation is present in the special case of simply ...
Mark McCann, Nicholas Pippenger
ECCV
2004
Springer
16 years 5 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...