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» Quantization of Sparse Representations
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CVPR
2010
IEEE
15 years 10 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 3 months 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 ...
STOC
2002
ACM
96views Algorithms» more  STOC 2002»
16 years 2 months ago
Near-optimal sparse fourier representations via sampling
d Abstract] A. C. Gilbert S. Guhay P. Indykz S. Muthukrishnan M. Strauss We give an algorithm for nding a Fourier representation R of B terms for a given discrete signal A of leng...
Anna C. Gilbert, Sudipto Guha, Piotr Indyk, S. Mut...
CVPR
1996
IEEE
15 years 6 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...
ICPR
2000
IEEE
16 years 3 months ago
Robust Fitting of Implicit Polynomials with Quantized Coefficients to 2D Data
This work presents a new approach to contour representation and coding. It consists of an improved fitting of high-degree (4th to 18th ) implicit polynomials (IPs) to the contour,...
Amir Helzer, Meir Barzohar, David Malah