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» Learning Overcomplete Representations
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ICASSP
2010
IEEE
13 years 8 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...
TSP
2008
143views more  TSP 2008»
13 years 8 months ago
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar
Sparse signal representations and approximations from overcomplete dictionaries have become an invaluable tool recently. In this paper, we develop a new, heuristic, graph-structure...
Kush R. Varshney, Müjdat Çetin, John W...
NIPS
2007
13 years 10 months ago
On Sparsity and Overcompleteness in Image Models
Computational models of visual cortex, and in particular those based on sparse coding, have enjoyed much recent attention. Despite this currency, the question of how sparse or how...
Pietro Berkes, Richard Turner, Maneesh Sahani
ICIP
2002
IEEE
14 years 10 months ago
Overcomplete image coding using iterative projection-based noise shaping
Overcomplete transforms, like the Dual-Tree Complex Wavelet Transform, offer more flexible signal representations than criticallysampled transforms. Large numbers of transform coe...
Nick G. Kingsbury, Tanya Reeves
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 8 months ago
A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting
1 Recently, great attention was intended toward overcomplete dictionaries and the sparse representations they can provide. In a wide variety of signal processing problems, sparsity...
Seyyed Majid Valiollahzadeh, Mohammad Nazari, Mass...