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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 1 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
106
Voted
NECO
2007
108views more  NECO 2007»
14 years 12 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
121
Voted
CORR
2011
Springer
265views Education» more  CORR 2011»
14 years 4 months ago
Signal Processing in Large Systems: a New Paradigm
—For a long time, signal processing applications, and most particularly detection and parameter estimation methods, have relied on the limiting behaviour of test statistics and e...
Romain Couillet, Mérouane Debbah
93
Voted
IR
2007
15 years 11 days ago
Lightweight natural language text compression
Variants of Huffman codes where words are taken as the source symbols are currently the most attractive choices to compress natural language text databases. In particular, Tagged...
Nieves R. Brisaboa, Antonio Fariña, Gonzalo...
94
Voted
ICIP
2005
IEEE
16 years 2 months ago
Discrete bandelets with geometric orthogonal filters
This paper describes the construction of second generation bandelet orthogonal bases. The decomposition on a bandelet basis is computed using a wavelet filter bank followed by ada...
Gabriel Peyré, Stéphane Mallat