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ICA
2012
Springer
12 years 5 months ago
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
Sylvain Le Corff, Gersende Fort, Eric Moulines
FGCS
2006
74views more  FGCS 2006»
13 years 10 months ago
A performance model of non-deterministic particle transport on large-scale systems
In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of a nondeterministic particle transport application, MCNP (Mont...
Mark M. Mathis, Darren J. Kerbyson, Adolfy Hoisie
ICCV
2011
IEEE
12 years 10 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
FDL
2003
IEEE
14 years 3 months ago
A New Method for Modeling and Analysis of Accuracy and Tolerances in Mixed-Signal Systems
Tolerances are a very important property of a design. This paper presents a method for simulating tolerances in signal processing and control systems on the system level using a...
Wilhelm Heupke, Christoph Grimm, Klaus Waldschmidt
BMCBI
2007
104views more  BMCBI 2007»
13 years 10 months ago
A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and de
Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
Oscar M. Rueda, Ramón Díaz-Uriarte