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NIPS
2007
15 years 1 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
86
Voted
DCC
2010
IEEE
15 years 6 months ago
A Symbolic Dynamical System Approach to Lossy Source Coding with Feedforward
It is known that modeling an information source via a symbolic dynamical system evolving over the unit interval, leads to a natural lossless compression scheme attaining the entro...
Ofer Shayevitz
SOFSEM
2009
Springer
15 years 8 months ago
Polylog Space Compression Is Incomparable with Lempel-Ziv and Pushdown Compression
This paper considers online compression algorithms that use at most polylogarithmic space (plogon). These algorithms correspond to compressors in the data stream model. We study th...
Elvira Mayordomo, Philippe Moser
ICIP
1997
IEEE
16 years 1 months ago
Embedded Wavelet Image Compression Based On A Joint Probability Model
Eero P. Simoncelli, Robert W. Buccigrossi
78
Voted
ICIP
1995
IEEE
16 years 1 months ago
Variable resolution Markov modelling of signal data for image compression
Traditionally, Markov models have not been successfully used for compression of signal data other than binary image data. Due to the fact that exact substring matches in non-binar...
Mark Trumbo, Jacques Vaisey