Edinburgh Compressed Sensing: Related Publications

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Optimization

• Efficient serial and parallel coordinate descent methods for huge-scale truss topology design, Peter Richtarik and Martin Takac.
• On the complexity of steepest descent, Newton's and regularized Newton's methods for nonconvex unconstrained optimization, Coralia Cartis, Nick Gould, and Philippe Toint.
• Simultaneously solving seven optimization problems in relative scale, Peter Richtarik.

Dictionary Learning

• Structured and Incoherent Parametric Dictionary Design, Mehrdad Yaghoobi, Laurent Daudet and Mike E. Davies.
• Parametric Dictionary Design for Sparse Coding, Mehrdad Yaghoobi, Laurent Daudet and Mike E. Davies; IEEE Transaction on Signal Processing, Vol. 57(12), (2009) 4800--4810.
• Dictionary Learning for Sparse Approximations with the Majorization Method, Mehrdad Yaghoobi, Thomas Blumensath and Mike E. Davies; IEEE Transaction on Signal Processing, Vol. 57(6), (2009) 2178--2191.
• Compressible Dictionary Learning for Fast Sparse Approximation, Mehrdad Yaghoobi and Mike E. Davies; IEEE Workshop on Statistical Signal Processing (SSP), Aug. 31 – Sep. 3, (2009) 662--665.
• Parsimonious Dictionary Learning , Mehrdad Yaghoobi, Thomas Blumensath and Mike E. Davies; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. (2009) 2869--2872.
• Parametric Dictionary Design for Sparse Coding, Mehrdad Yaghoobi, Laurent Daudet and Mike E. Davies; Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS09), Apr. (2009).
• Regularized Dictionary Learning for Sparse Approximation, Mehrdad Yaghoobi, Thomas Blumensath and Mike E. Davies; European Signal Processing Conference (EUSIPCO), Aug. (2008).
• Quantized Sparse Approximation with Iterative Thresholding for Audio Coding, Mehrdad Yaghoobi, Thomas Blumensath and Mike E. Davies; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. (2007).

Sparse Approximation

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