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» Universal Sparse Modeling
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114
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ICASSP
2011
IEEE
14 years 4 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
96
Voted
TCC
2007
Springer
102views Cryptology» more  TCC 2007»
15 years 6 months ago
Universally Composable Security with Global Setup
Abstract. Cryptographic protocols are often designed and analyzed under some trusted set-up assumptions, namely in settings where the participants have access to global information...
Ran Canetti, Yevgeniy Dodis, Rafael Pass, Shabsi W...
ITCC
2005
IEEE
15 years 6 months ago
A Scalable Generative Topographic Mapping for Sparse Data Sequences
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ata Kabán
114
Voted
ICA
2007
Springer
15 years 4 months ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
119
Voted
STOC
2009
ACM
167views Algorithms» more  STOC 2009»
16 years 1 months ago
Universally utility-maximizing privacy mechanisms
A mechanism for releasing information about a statistical database with sensitive data must resolve a trade-off between utility and privacy. Publishing fully accurate information ...
Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan