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JSCIC
2008
71views more  JSCIC 2008»
14 years 9 months ago
Numerical and Statistical Methods for the Coarse-Graining of Many-Particle Stochastic Systems
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice systems. We emphasize the numerical analysis of the schemes, focusing on error ...
Markos A. Katsoulakis, Petr Plechác, Luc Re...
PAMI
2010
135views more  PAMI 2010»
14 years 8 months ago
A Variational Approach to Degraded Document Enhancement
—The goal of this paper is to correct bleed-through in degraded documents using a variational approach. The variational model is adapted using an estimated background according t...
Reza Farrahi Moghaddam, Mohamed Cheriet
94
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Ambiguity functions of compressively sensed and processed radar waveforms
Compressive sensing and processing delivers high resolution data using reduced sampling rates and computational effort compared to Nyquist sensing and processing. Compressive proc...
Ioannis Kyriakides
121
Voted
CVPR
2011
IEEE
14 years 7 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
76
Voted
ECML
2005
Springer
15 years 3 months ago
Kernel Basis Pursuit
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Vincent Guigue, Alain Rakotomamonjy, Stépha...