49 search results - page 6 / 10 » Compressed Sensing and Redundant Dictionaries |
89
Voted
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
136
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
This paper presents a novel approach to skim and describe 3D videos. 3D video is an imaging technology which consists in a stream of 3D models in motion captured by a synchronized ...
107
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PERCOM
2010
ACM
14 years 10 months ago
2010
ACM
—Data loss in wireless communications greatly affects the reconstruction quality of a signal. In the case of images, data loss results in a reduction in quality of the received i...
106
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DCC
2001
IEEE
15 years 11 months ago
2001
IEEE
Lossless compression researchers have developed highly sophisticated approaches, such as Huffman encoding, arithmetic encoding, the Lempel-Ziv family, Dynamic Markov Compression (D...
124
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PAMI
2012
13 years 2 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...