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» An LFT approach to parameter estimation
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ICASSP
2011
IEEE
12 years 11 months ago
Evolutive method based on a generalized eigenvalue decomposition to estimate time varying autoregressive parameters from noisy o
A great deal of interest has been paid to the estimation of time-varying autoregressive (TVAR) parameters. However, when the observations are disturbed by an additive white measur...
Hiroshi Ijima, Julien Petitjean, Eric Grivel
JCNS
2010
103views more  JCNS 2010»
13 years 2 months ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski
DICTA
2003
13 years 9 months ago
FNS, CFNS and HEIV: Extending Three Vision Parameter Estimation Methods
Estimation of parameters from image tokens is a central problem in computer vision. FNS, CFNS and HEIV are three recently developed methods for solving special but important cases ...
Wojciech Chojnacki, Michael J. Brooks, Anton van d...
NIPS
1998
13 years 9 months ago
Efficient Bayesian Parameter Estimation in Large Discrete Domains
In this paper we examine the problem of estimating the parameters of a multinomial distribution over a large number of discreteoutcomes,most of which do not appearin the training ...
Nir Friedman, Yoram Singer
ICPR
2008
IEEE
14 years 8 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe