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» Gaussian Process Models of Spatial Aggregation Algorithms
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ICIP
2006
IEEE
14 years 9 months ago
Light and Fast Statistical Motion Detection Method Based on Ergodic Model
In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
ICIP
1994
IEEE
14 years 9 months ago
Robust B-Spline Image Smoothing
In this work we present a new approach to two - dimensional robust spline smoothing. The proposed method is based on M-estimator algorithms but unlike in other M-estimator based i...
Marta Karczewicz, Moncef Gabbouj, Jaakko Astola
MICCAI
2008
Springer
14 years 8 months ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...
JMLR
2010
173views more  JMLR 2010»
13 years 2 months ago
Elliptical slice sampling
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...
DASFAA
2006
IEEE
145views Database» more  DASFAA 2006»
14 years 1 months ago
Processing Multiple Aggregation Queries in Geo-Sensor Networks
Abstract. To process aggregation queries issued through different sensors as access points in sensor networks, existing algorithms handle queries independently and perform in-netw...
Ken C. K. Lee, Wang-Chien Lee, Baihua Zheng, Julia...