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» On sparse signal representations
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ICIP
2006
IEEE
16 years 1 months ago
Sparse Image Reconstruction using Sparse Priors
Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrup...
Michael Ting, Raviv Raich, Alfred O. Hero
CVPR
2010
IEEE
15 years 8 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
ISBI
2008
IEEE
16 years 18 days ago
Deconvolution of confocal microscopy images using proximal iteration and sparse representations
We propose a deconvolution algorithm for images blurred and degraded by a Poisson noise. The algorithm uses a fast proximal backward-forward splitting iteration. This iteration mi...
François-Xavier Dupé, Mohamed-Jalal ...
CVPR
1996
IEEE
15 years 4 months ago
Sparse Representations for Image Decomposition with Occlusions
We study the problem of how to detect \interesting objects" appeared in a given image, I. Our approach is to treat it as a function approximation problem based on an over-red...
Michael J. Donahue, Davi Geiger, Tyng-Luh Liu, Rob...
CVPR
2008
IEEE
16 years 1 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell