807 search results - page 122 / 162 » Compressed sensing based method for ECG compression |
131
Voted
ISITA
2010
15 years 17 days ago
2010
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...
140
Voted
JMLR
2008
15 years 2 months ago
2008
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...
125
Voted
FOCM
2010
15 years 1 months ago
2010
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...
102
Voted
ICIP
2010
IEEE
15 years 18 days ago
2010
IEEE
Many computer vision applications such as image filtering, segmentation and stereo-vision can be formulated as optimization problems.Whereas in previous decades continuousdomain, ...
139
Voted
ICCV
2009
IEEE
15 years 12 days ago
2009
IEEE
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...