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CORR
2007
Springer
112views Education» more  CORR 2007»
13 years 5 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
CIARP
2003
Springer
13 years 10 months ago
Multi-channel Reconstruction of Video Sequences from Low-Resolution and Compressed Observations
A framework for recovering high-resolution video sequences from sub-sampled and compressed observations is presented. Compression schemes that describe a video sequence through a c...
Luis D. Alvarez, Rafael Molina, Aggelos K. Katsagg...
CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
13 years 4 days ago
On the observability of linear systems from random, compressive measurements
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
Michael B. Wakin, Borhan Molazem Sanandaji, Tyrone...
ICIP
2008
IEEE
14 years 6 months ago
Resolution-progressive compression of encrypted grayscale images
Compression of encrypted data can be achieved by employing Slepian-Wolf coding (SWC). However, how to efficiently exploit the source dependency in an encrypted colored signal such...
Wei Liu, Wenjun Zeng, Lina Dong, Qiuming Yao