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» An extension of the ICA model using latent variables
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ESANN
2006
14 years 11 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
DATE
2010
IEEE
178views Hardware» more  DATE 2010»
15 years 3 months ago
Circuit propagation delay estimation through multivariate regression-based modeling under spatio-temporal variability
—With every process generation, the problem of variability in physical parameters and environmental conditions poses a great challenge to the design of fast and reliable circuits...
Shrikanth Ganapathy, Ramon Canal, Antonio Gonz&aac...
CSDA
2010
165views more  CSDA 2010»
14 years 10 months ago
A two-component Weibull mixture to model early and late mortality in a Bayesian framework
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
Alessio Farcomeni, Alessandra Nardi
PUK
2003
14 years 11 months ago
Modeling in an Architectural Variability Description Language
In order to handle the large amount of variability in product families, automated product derivation support is desirable. To make automated product derivation possible one importa...
Theo Dirk Meijler, Silvie Schoenmaker, Egbert de R...
NAACL
2010
14 years 7 months ago
Context-free reordering, finite-state translation
We describe a class of translation model in which a set of input variants encoded as a context-free forest is translated using a finitestate translation model. The forest structur...
Christopher Dyer, Philip Resnik