Publications related to A convex optimization approach for image recovery from nonlinear measurements in optical interferometry

Robust Controller Design by Convex Optimization based on Finite Frequency Samples of Spectral Models

Alireza Karimi, Roland Longchamp, Gorka Galdos Sanz de Galdeano

Some frequency-domain controller design problems are solved using a finite number of frequency samples. Consequently, the performance and stability conditions are not guaranteed for the frequencies between the frequency samples. In this paper, all possible ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

An Optimal Algorithm for Reconstructing Images from Binary Measurements

Martin Vetterli, Luciano Sbaiz, Yue Lu, Feng Yang

We have studied a camera with a very large number of binary pixels referred to as the gigavision camera or the gigapixel digital film camera. Potential advantages of this new camera design include improved dynamic range, thanks to its logarithmic sensor re ...

2010

Continuity Properties of Law-Invariant (Quasi-)Convex Risk Functions on L∞

Gregor Svindland

We study continuity properties of law-invariant (quasi-)convex functions f : L1(Ω,F, P) to ( ∞,∞] over a non-atomic probability space (Ω,F, P) .This is a supplementary note to [12] ...

Springer Verlag2010

Minimum distance between pattern transformation manifolds: Algorithm and Applications

Pascal Frossard, Effrosyni Kokiopoulou

Transformation invariance is an important property in pattern recognition, where different observations of the same object typically receive the same label. This paper focuses on a transformation invariant distance measure that represents the minimum dista ...

2009

Geometry-aware analysis of high-dimensional visual information sets

Effrosyni Kokiopoulou

Over the past few decades we have been experiencing a data explosion; massive amounts of data are increasingly collected and multimedia databases, such as YouTube and Flickr, are rapidly expanding. At the same time rapid technological advancements in mobil ...

EPFL2009

Compressed sensing imaging techniques for radio interferometry

Pierre Vandergheynst, Yves Wiaux, Gilles Puy, Laurent Jacques

Radio interferometry probes astrophysical signals through incomplete and noisy Fourier measurements. The theory of compressed sensing demonstrates that such measurements may actually suffice for accurate reconstruction of sparse or compressible signals. We ...

Wiley-Blackwell2009

Torque anomalies at magnetization plateaux in quantum magnets with Dzyaloshinskii-Moriya interactions

Frédéric Mila, Salvatore Manmana

We investigate the effect of Dzyaloshinskii-Moriya (DM) interactions on torque measurements of quantum magnets with magnetization plateaux in the context of a frustrated spin-1/2 ladder. Using extensive DMRG simulations, we show that the DM contribution to ...

2009

Temperature Control of High Performance Multicore Platforms Using Convex Optimization

Giovanni De Micheli, David Atienza Alonso, Luca Benini, Srinivasan Murali

With technology advances, the number of cores integrated on a chip and their speed of operation is increasing. This, in turn is leading to a significant increase in chip temperature. Temperature gradi- ents and hot-spots not only affect the performance of ...

2008

Compressed sensing imaging techniques for aperture synthesis by radio interferometry

Pierre Vandergheynst, Yves Wiaux, Gilles Puy, Laurent Jacques

Radio interferometry probes astrophysical signals through incomplete and noisy Fourier measurements. The theory of compressed sensing demonstrates that such measurements may actually suffice for accurate reconstruction of the signals. We propose new generi ...

2008

Some Recovery Conditions for Basis Learning by L1-Minimization

Rémi Gribonval, Karin Schnass

Many recent works have shown that if a given signal admits a sufficiently sparse representation in a given dictionary, then this representation is recovered by several standard optimization algorithms, in particular the convex

\ell^1

minimization approac ...

2008

A convex optimization approach for image recovery from nonlinear measurements in optical interferometry

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Robust Controller Design by Convex Optimization based on Finite Frequency Samples of Spectral Models

An Optimal Algorithm for Reconstructing Images from Binary Measurements

Continuity Properties of Law-Invariant (Quasi-)Convex Risk Functions on L∞

Minimum distance between pattern transformation manifolds: Algorithm and Applications

Geometry-aware analysis of high-dimensional visual information sets

Compressed sensing imaging techniques for radio interferometry

Torque anomalies at magnetization plateaux in quantum magnets with Dzyaloshinskii-Moriya interactions

Temperature Control of High Performance Multicore Platforms Using Convex Optimization

Compressed sensing imaging techniques for aperture synthesis by radio interferometry

Some Recovery Conditions for Basis Learning by L1-Minimization

Continuity Properties of Law-Invariant (Quasi-)Convex Risk Functions on L∞

Geometry-aware analysis of high-dimensional visual information sets

Temperature Control of High Performance Multicore Platforms Using Convex Optimization

Minimum distance between pattern transformation manifolds: Algorithm and Applications

Compressed sensing imaging techniques for radio interferometry

Torque anomalies at magnetization plateaux in quantum magnets with Dzyaloshinskii-Moriya interactions

An Optimal Algorithm for Reconstructing Images from Binary Measurements

Robust Controller Design by Convex Optimization based on Finite Frequency Samples of Spectral Models

Compressed sensing imaging techniques for aperture synthesis by radio interferometry

Some Recovery Conditions for Basis Learning by L1-Minimization