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» Gaussian Process Models of Spatial Aggregation Algorithms
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CIMCA
2005
IEEE
14 years 1 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
ICIP
2009
IEEE
13 years 5 months ago
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The...
Mayssaa Al Najjar, Soumik Ghosh, Magdy Bayoumi
NIPS
2003
13 years 9 months ago
Bayesian Color Constancy with Non-Gaussian Models
We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated direc...
Charles R. Rosenberg, Thomas P. Minka, Alok Ladsar...
COSIT
1997
Springer
143views GIS» more  COSIT 1997»
13 years 11 months ago
Using Hierarchical Spatial Data Structures for Hierarchical Spatial Reasoning
This paper gives a definition of Hierarchical Spatial Reasoning, which computes increasingly better results in a hierarchical fashion and stops the computation when a result is ac...
Sabine Timpf, Andrew U. Frank
AVSS
2005
IEEE
14 years 1 months ago
Scene modelling using an adaptive mixture of Gaussians in colour and space
We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to i...
Patrick Dickinson, Andrew Hunter