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» Learning Compressible Models
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ICASSP
2008
IEEE
15 years 4 months ago
Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
Ali Hormati, Martin Vetterli
DCC
2002
IEEE
15 years 9 months ago
Image Compression using an Efficient Edge Cartoon + Texture Model
Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, wavelet coders are less adept at representing perceptually important edge ...
Michael B. Wakin, Justin K. Romberg, Hyeokho Choi,...
ICIP
2003
IEEE
15 years 11 months ago
Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model
Inherent to photograph-like images are two types of structures: large smooth regions and geometrically smooth edge contours separating those regions. Over the past years, efficien...
Justin K. Romberg, Michael B. Wakin, Richard G. Ba...
ALT
2008
Springer
15 years 6 months ago
Dynamic Modeling in Inductive Inference
John Case, Timo Kötzing