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» Robust estimation for sparse data
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IJDSN
2006
143views more  IJDSN 2006»
14 years 9 months ago
MicroRouting: A Scalable and Robust Communication Paradigm for Sparse Ad Hoc Networks
Mobile ad hoc networks are self-organizing networks that provide rapid network connectivity in infrastructureless environments. Most routing protocols designed for MANETs assume c...
Saumitra M. Das, Himabindu Pucha, Y. Charlie Hu
ICIP
2009
IEEE
14 years 7 months ago
An automatic Structure-Aware image extrapolation applied to error concealment
A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
Haricharan Lakshman, Patrick Ndjiki-Nya, Martin K&...
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 9 months ago
Stable Principal Component Pursuit
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a highdimensional data matrix despite both small entry-wise noise and gross spar...
Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. ...
ICRA
2008
IEEE
169views Robotics» more  ICRA 2008»
15 years 4 months ago
Sparse incremental learning for interactive robot control policy estimation
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
Daniel H. Grollman, Odest Chadwicke Jenkins
TMI
2008
138views more  TMI 2008»
14 years 9 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...