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» Learning from compressed observations
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ASAP
2002
IEEE
105views Hardware» more  ASAP 2002»
15 years 2 months ago
Implications of Programmable General Purpose Processors for Compression/Encryption Applications
With the growth of the Internet and mobile communication industry, multimedia applications form a dominant computer workload. Media workloads are typically executed on Application...
Byeong Kil Lee, Lizy Kurian John
CORR
2012
Springer
225views Education» more  CORR 2012»
13 years 5 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
ICIP
2010
IEEE
14 years 7 months ago
Compressed sensing for aperture synthesis imaging
The theory of compressed sensing has a natural application in interferometric aperture synthesis. As in many real-world applications, however, the assumption of random sampling, w...
Stephan Wenger, Soheil Darabi, Pradeep Sen, Karl-H...
ICMCS
2005
IEEE
148views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Compressed Domain Image Indexing and Retrieval Based on the Minimal Spanning Tree
In this paper, a method for content-based retrieval of JPEG images is presented, utilizing features directly from the discrete cosine transform (DCT) domain. Image indexing is ach...
Christos Theoharatos, Vassilios K. Pothos, George ...
DLOG
1998
14 years 11 months ago
Learning Composite Concepts
This paper proposes a framework to learn concepts from di erent kinds of observations. We de ne a language to describe meta-concepts, that represent the sets of possible concepts ...
Patrick Lambrix, Pierpaolo Larocchia