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107
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CORR
2007
Springer
112views Education» more  CORR 2007»
15 years 2 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
15 years 8 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...
131
Voted
CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
14 years 10 months 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
16 years 4 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