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» Frame domain signal processing: Framework and applications
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ICASSP
2011
IEEE
12 years 11 months ago
Image compression using learned dictionaries by RLS-DLA and compared with K-SVD
The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are learned in the pixel ...
Karl Skretting, Kjersti Engan
CAIP
2005
Springer
220views Image Analysis» more  CAIP 2005»
14 years 28 days ago
Application of Automatic Image Registration in a Segmentation Framework of Pelvic CT Images
In radiation treatment (RT) planning, clinicians must trace the outline of a few critical structures on a large number of images. Using automated image segmentation could save trem...
Attila Tanács, Eörs Máté...
PLDI
2010
ACM
14 years 14 days ago
Green: a framework for supporting energy-conscious programming using controlled approximation
Energy-efficient computing is important in several systems ranging from embedded devices to large scale data centers. Several application domains offer the opportunity to tradeof...
Woongki Baek, Trishul M. Chilimbi
ICML
2008
IEEE
14 years 8 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
WETICE
1998
IEEE
13 years 11 months ago
A Framework for Adaptive Process Modeling and Execution (FAME)
This paper describes the architecture and concept of operation of a Framework for Adaptive Process Modeling and Execution (FAME). The research addresses the absence of robust meth...
Perakath C. Benjamin, Madhav Erraguntla, Richard J...