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» Abstracting from Failure Probabilities
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ECCV
2000
Springer
16 years 3 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
MICCAI
2005
Springer
16 years 2 months ago
Efficient Learning by Combining Confidence-Rated Classifiers to Incorporate Unlabeled Medical Data
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
Weijun He, Xiaolei Huang, Dimitris N. Metaxas, Xia...
ICALP
2009
Springer
16 years 2 months ago
Smoothed Analysis of Balancing Networks
Abstract In a load balancing network each processor has an initial collection of unit-size jobs, tokens, and in each round, pairs of processors connected by balancers split their l...
Tobias Friedrich, Thomas Sauerwald, Dan Vilenchik
ESORICS
2002
Springer
16 years 1 months ago
Computational Probabilistic Non-interference
In recent times information flow and non-interference have become very popular concepts for expressing both integrity and privacy properties. We present the first general definitio...
Michael Backes, Birgit Pfitzmann
106
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PERCOM
2008
ACM
16 years 1 months ago
Location Fingerprint Analyses Toward Efficient Indoor Positioning
Abstract--Analytical models to evaluate and predict "precision" performance of indoor positioning systems based on location fingerprinting are lacking. Such models can be...
Nattapong Swangmuang, Prashant Krishnamurthy