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» Regular Texture Analysis as Statistical Model Selection
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TSP
2011
170views more  TSP 2011»
13 years 2 months ago
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
Boaz Nadler, Leonid Kontorovich
NIPS
2007
13 years 9 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
ICIP
2009
IEEE
14 years 8 months ago
Illumination Invariant And Rotational Insensitive Textural Representation
We propose an illumination invariant and rotation insensitive texture representation based on a Markovian textural model. A texture is aligned with its dominant orientation and te...
SIAMSC
2008
126views more  SIAMSC 2008»
13 years 7 months ago
Towards a Statistical Theory of Texture Evolution in Polycrystals
Abstract. Most technologically useful materials possess polycrystalline microstructures composed of a large number of small monocrystalline grains separated by grain boundaries. Th...
K. Barmak, M. Emelianenko, Dmitry Golovaty, David ...
FSTTCS
2010
Springer
13 years 5 months ago
Average Analysis of Glushkov Automata under a BST-Like Model
We study the average number of transitions in Glushkov automata built from random regular expressions. This statistic highly depends on the probabilistic distribution set on the e...
Cyril Nicaud, Carine Pivoteau, Benoît Razet