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» Dictionary learning of convolved signals
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ICML
2010
IEEE
14 years 10 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
CORR
2011
Springer
186views Education» more  CORR 2011»
14 years 1 months ago
Blind Compressed Sensing Over a Structured Union of Subspaces
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
Jorge Silva, Minhua Chen, Yonina C. Eldar, Guiller...
ICASSP
2010
IEEE
14 years 9 months ago
Ultrasound tomography with learned dictionaries
We propose a new method for imaging sound speed in breast tissue from measurements obtained by ultrasound tomography (UST) scanners. Given the measurements, our algorithm finds a...
Ivana Tosic, Ivana Jovanovic, Pascal Frossard, Mar...
ICASSP
2011
IEEE
14 years 1 months ago
Maximum marginal likelihood estimation for nonnegative dictionary learning
We describe an alternative to standard nonnegative matrix factorisation (NMF) for nonnegative dictionary learning. NMF with the Kullback-Leibler divergence can be seen as maximisa...
Onur Dikmen, Cédric Févotte
ICASSP
2011
IEEE
14 years 1 months ago
Image compression using the Iteration-Tuned and Aligned Dictionary
We present a new, block-based image codec based on sparse representations using a learned, structured dictionary called the IterationTuned and Aligned Dictionary (ITAD). The quest...
Joaquin Zepeda, Christine Guillemot, Ewa Kijak