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» Compressed sensing based method for ECG compression
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ISITA
2010
14 years 7 months ago
Spectral entropy-based bit allocation
In transform-based compression schemes, the task of choosing, quantizing, and coding the coefficients that best represent a signal is of prime importance. As a step in this directi...
Malavika Bhaskaranand, Jerry D. Gibson
JMLR
2008
209views more  JMLR 2008»
14 years 9 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
FOCM
2010
140views more  FOCM 2010»
14 years 8 months ago
Combinatorial Sublinear-Time Fourier Algorithms
We study the problem of estimating the best k term Fourier representation for a given frequency-sparse signal (i.e., vector) A of length N k. More explicitly, we investigate how t...
Mark A. Iwen
ICIP
2010
IEEE
14 years 7 months ago
Anisotropic diffusion using power watersheds
Many computer vision applications such as image filtering, segmentation and stereo-vision can be formulated as optimization problems.Whereas in previous decades continuousdomain, ...
Camille Couprie, Leo J. Grady, Laurent Najman, Hug...
ICCV
2009
IEEE
14 years 7 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas