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» Randomness, Stochasticity and Approximations
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PODC
2006
ACM
16 years 2 days ago
Computing separable functions via gossip
Motivated by applications to sensor, peer-to-peer, and adhoc networks, we study the problem of computing functions of values at the nodes in a network in a totally distributed man...
Damon Mosk-Aoyama, Devavrat Shah
CAIP
2009
Springer
202views Image Analysis» more  CAIP 2009»
15 years 3 months ago
Near-Regular Texture Synthesis
This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textu...
Michal Haindl, Martin Hatka
ICASSP
2011
IEEE
14 years 9 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...

Publication
222views
17 years 5 months ago
Quantitative Description of Spatially Homogeneous Textures by Characteristic Grey Level Co-Occurrences
Gibbs random eld model with multiple pairwise pixel interactions describes each type of spatially homogeneous image textures in terms of a pixel neighbourhood and Gibbs potentials...
Georgy Gimel'farb
DCC
2008
IEEE
16 years 5 months ago
Compressive-Projection Principal Component Analysis for the Compression of Hyperspectral Signatures
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...
James E. Fowler