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AAAI
2008
13 years 11 months ago
Computing Minimal Diagnoses by Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
CVPR
2010
IEEE
14 years 5 months ago
A Game-Theoretic Approach to Fine Surface Registration without Initial Motion Estimation
Surface registration is a fundamental step in the reconstruction of three-dimensional objects. This is typically a two step process where an initial coarse motion estimation is fo...
Andrea Albarelli, Andrea Torsello, Emanuele Rodol
AVSS
2009
IEEE
13 years 10 months ago
Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning
This paper presents a novel approach to vehicle detection in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to ...
Birgi Tamersoy, Jake K. Aggarwal
NIPS
2004
13 years 10 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
DSN
2000
IEEE
14 years 1 months ago
Benchmarking Anomaly-Based Detection Systems
Anomaly detection is a key element of intrusiondetection and other detection systems in which perturbations of normal behavior suggest the presence of intentionally or unintention...
Roy A. Maxion, Kymie M. C. Tan