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» Sparse Image Reconstruction using Sparse Priors
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ICASSP
2011
IEEE
14 years 7 months ago
Compressive power spectral density estimation
In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...
Michael A. Lexa, Mike E. Davies, John S. Thompson,...
ICCV
2011
IEEE
14 years 4 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
ICIP
2007
IEEE
16 years 5 months ago
Content Adaptive Heterogeneous Snakes
Active contour (snake) approaches have been proved to be efficient tools to extract object boundary precisely. One drawback of these methods is that state-of-the-art snake algorit...
András Hajdu, Ioannis Pitas
IMAGING
2003
15 years 5 months ago
The Impact of Spectrally-Stable Ink Variability on Spectral Color Management
Typical color image processing techniques use profiles consisting of sparse multi-dimensional lookup tables that interpolate between adjacent nodes to prepare an image for renderi...
Edward F. Hattenberger, Mitchell R. Rosen, Noboru ...
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PLDI
2003
ACM
15 years 9 months ago
Compile-time composition of run-time data and iteration reorderings
Many important applications, such as those using sparse data structures, have memory reference patterns that are unknown at compile-time. Prior work has developed runtime reorderi...
Michelle Mills Strout, Larry Carter, Jeanne Ferran...