23 search results - page 2 / 5 » Graphical Models Concepts in Compressed Sensing |
ASE
1998
13 years 4 months ago
1998
Software process improvement requires high level formalisms for describing project-specific, organizational and quality aspects. These formalisms must be convenient not only for ...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
DCC
2010
IEEE
14 years 2 days ago
2010
IEEE
We introduce Xampling, a design methodology for analog compressed sensing in which we sample analog bandlimited signals at rates far lower than Nyquist, without loss of informatio...
NIPS
2008
13 years 6 months ago
2008
Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
DCC
2008
IEEE
14 years 4 months ago
2008
IEEE
A fully automated architecture for object-based region of interest (ROI) detection is proposed. ROI's are defined as regions containing user defined objects of interest, and ...