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ICIP
2009
IEEE
15 years 10 months ago
Dequantizing Compressed Sensing With Non-gaussian Constraints
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
CORR
2011
Springer
214views Education» more  CORR 2011»
14 years 1 months ago
K-Median Clustering, Model-Based Compressive Sensing, and Sparse Recovery for Earth Mover Distance
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Piotr Indyk, Eric Price
JMLR
2010
106views more  JMLR 2010»
14 years 4 months ago
Improving posterior marginal approximations in latent Gaussian models
We consider the problem of correcting the posterior marginal approximations computed by expectation propagation and Laplace approximation in latent Gaussian models and propose cor...
Botond Cseke, Tom Heskes
CGF
1998
118views more  CGF 1998»
14 years 9 months ago
An Exhaustive Error-Bounding Algorithm for Hierarchical Radiosity
This paper presents a complete algorithm for the evaluation and control of error in radiosity calculations. Providing such control is both extremely important for industrial appli...
Nicolas Holzschuch, François X. Sillion
SIAMSC
2010
157views more  SIAMSC 2010»
14 years 8 months ago
Certified Reduced Basis Methods and Output Bounds for the Harmonic Maxwell's Equations
We propose certified reduced basis methods for the efficient and reliable evaluation of a general output that is implicitly connected to a given parameterized input through the ha...
Yanlai Chen, Jan S. Hesthaven, Yvon Maday, Jer&oac...