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SIAMIS
2010
102views more  SIAMIS 2010»
8 years 8 months ago
Cross Correlation and Deconvolution of Noise Signals in Randomly Layered Media
It is known that cross correlation of waves generated by noise sources, propagating in an unknown medium, and recorded by a sensor array, can provide information about the medium. ...
Josselin Garnier, Knut Sølna
SIAMIS
2010
167views more  SIAMIS 2010»
8 years 8 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
SIAMIS
2010
155views more  SIAMIS 2010»
8 years 8 months ago
Smoothing Nonlinear Conjugate Gradient Method for Image Restoration Using Nonsmooth Nonconvex Minimization
Image restoration problems are often converted into large-scale, nonsmooth and nonconvex optimization problems. Most existing minimization methods are not efficient for solving su...
Xiaojun Chen, Weijun Zhou
SIAMIS
2010
101views more  SIAMIS 2010»
8 years 8 months ago
Total Generalized Variation
Kristian Bredies, Karl Kunisch, Thomas Pock
SIAMIS
2010
138views more  SIAMIS 2010»
8 years 8 months ago
Multiscale Photon-Limited Spectral Image Reconstruction
Abstract. This paper studies photon-limited spectral intensity estimation and proposes a spatially and spectrally adaptive, nonparametric method for estimating spectral intensities...
Kalyani Krishnamurthy, Maxim Raginsky, Rebecca Wil...
SIAMIS
2010
156views more  SIAMIS 2010»
8 years 8 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
SIAMIS
2010
152views more  SIAMIS 2010»
8 years 8 months ago
Nonparametric Regression between General Riemannian Manifolds
We study nonparametric regression between Riemannian manifolds based on regularized empirical risk minimization. Regularization functionals for mappings between manifolds should re...
Florian Steinke, Matthias Hein, Bernhard Schö...
SIAMIS
2010
129views more  SIAMIS 2010»
8 years 8 months ago
Compressed Remote Sensing of Sparse Objects
Abstract. The linear inverse source and scattering problems are studied from the perspective of compressed sensing, in particular the idea that sufficient incoherence and sparsity ...
Albert Fannjiang, Thomas Strohmer, Pengchong Yan
SIAMIS
2010
190views more  SIAMIS 2010»
8 years 8 months ago
Analysis and Generalizations of the Linearized Bregman Method
This paper analyzes and improves the linearized Bregman method for solving the basis pursuit and related sparse optimization problems. The analysis shows that the linearized Bregma...
Wotao Yin
SIAMIS
2010
141views more  SIAMIS 2010»
8 years 8 months ago
Optimization by Stochastic Continuation
Simulated annealing (SA) and deterministic continuation are well-known generic approaches to global optimization. Deterministic continuation is computationally attractive but produ...
Marc C. Robini, Isabelle E. Magnin
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