The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
N. Tokuda - One of the best experts on this subject based on the ideXlab platform.
-
Stability analysis of regional and national voting schemes by a Continuous Model
IEEE Transactions on Knowledge and Data Engineering, 2003Co-Authors: Liang Chen, N. TokudaAbstract:The previous discrete-Model-based stability analysis of regional and national voting has been extended to a Continuous-Model-based analysis in the simultaneous presence of white and concentrated components of noise, reconfirming the previous conclusion that regional voting with smaller sized regions always demonstrates an improved stability over those with larger sized regions, including the national voting in its limiting case in particular. The conclusion remains valid as long as the weak distribution assumption is valid.
-
SMC - Stability analysis of voting schemes on a Continuous Model
SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems Man and Cybernetics. 'Cybernetics Evolving to Systems Humans Organizati, 2000Co-Authors: Liang Chen, N. TokudaAbstract:We have extended and reinforced the previous discrete-Model-based stability analysis of the national and regional voting by a Continuous Model where we have allowed the presence of the so-called white noise, and the concentrated noise. The result reconfirms the previous conclusion developed for image processing application that as long as the divided regions are not too small, the regional voting with smaller sized regions demonstrates always an improved robustness than those with larger sized regions.
-
Stability analysis of voting schemes on a Continuous Model
Smc 2000 conference proceedings. 2000 ieee international conference on systems man and cybernetics. 'cybernetics evolving to systems humans organizati, 2000Co-Authors: Liang Chen, N. TokudaAbstract:We have extended and reinforced the previous discrete-Model-based stability analysis of the national and regional voting by a Continuous Model where we have allowed the presence of the so-called white noise, and the concentrated noise. The result reconfirms the previous conclusion developed for image processing application that as long as the divided regions are not too small, the regional voting with smaller sized regions demonstrates always an improved robustness than those with larger sized regions.
Liang Chen - One of the best experts on this subject based on the ideXlab platform.
-
Stability analysis of regional and national voting schemes by a Continuous Model
IEEE Transactions on Knowledge and Data Engineering, 2003Co-Authors: Liang Chen, N. TokudaAbstract:The previous discrete-Model-based stability analysis of regional and national voting has been extended to a Continuous-Model-based analysis in the simultaneous presence of white and concentrated components of noise, reconfirming the previous conclusion that regional voting with smaller sized regions always demonstrates an improved stability over those with larger sized regions, including the national voting in its limiting case in particular. The conclusion remains valid as long as the weak distribution assumption is valid.
-
SMC - Stability analysis of voting schemes on a Continuous Model
SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems Man and Cybernetics. 'Cybernetics Evolving to Systems Humans Organizati, 2000Co-Authors: Liang Chen, N. TokudaAbstract:We have extended and reinforced the previous discrete-Model-based stability analysis of the national and regional voting by a Continuous Model where we have allowed the presence of the so-called white noise, and the concentrated noise. The result reconfirms the previous conclusion developed for image processing application that as long as the divided regions are not too small, the regional voting with smaller sized regions demonstrates always an improved robustness than those with larger sized regions.
-
Stability analysis of voting schemes on a Continuous Model
Smc 2000 conference proceedings. 2000 ieee international conference on systems man and cybernetics. 'cybernetics evolving to systems humans organizati, 2000Co-Authors: Liang Chen, N. TokudaAbstract:We have extended and reinforced the previous discrete-Model-based stability analysis of the national and regional voting by a Continuous Model where we have allowed the presence of the so-called white noise, and the concentrated noise. The result reconfirms the previous conclusion developed for image processing application that as long as the divided regions are not too small, the regional voting with smaller sized regions demonstrates always an improved robustness than those with larger sized regions.
S. Euler - One of the best experts on this subject based on the ideXlab platform.
-
A time Continuous Model for speech recognition
1996 IEEE International Conference on Acoustics Speech and Signal Processing Conference Proceedings, 1996Co-Authors: S. EulerAbstract:In this paper we present a time Continuous extension of the hidden Markov Model approach in order to obtain a better representation of the Continuous nature of the speech process. The discrete state sequence of the hidden Markov Model is replaced by a Continuous parameter, varying between 0 and 1. For an utterance and a given word Model an optimum mapping of the feature vectors to the Continuous axis is found and the likelihood is calculated based on this mapping. As a first test of this very general approach we extended the hidden Markov Model by first mapping the states onto the new axis. Values between the states are then obtained by interpolation between the states. As alternatives we considered interpolation of either the likelihood values of the state density functions and/or of the parameters of the density functions itself. The approach was tested in a speaker independent isolated word recognition system.
Peter Gill - One of the best experts on this subject based on the ideXlab platform.
-
euroformix an open source software based on a Continuous Model to evaluate str dna profiles from a mixture of contributors with artefacts
Forensic Science International-genetics, 2016Co-Authors: Oyvind Bleka, Geir Storvik, Peter GillAbstract:Abstract We have released a software named EuroForMix to analyze STR DNA profiles in a user-friendly graphical user interface. The software implements a Model to explain the allelic peak height on a Continuous scale in order to carry out weight-of-evidence calculations for profiles which could be from a mixture of contributors. Through a properly parameterized Model we are able to do inference on mixture proportions, the peak height properties, stutter proportion and degradation. In addition, EuroForMix includes Models for allele drop-out, allele drop-in and sub-population structure. EuroForMix supports two inference approaches for likelihood ratio calculations. The first approach uses maximum likelihood estimation of the unknown parameters. The second approach is Bayesian based which requires prior distributions to be specified for the parameters involved. The user may specify any number of known and unknown contributors in the Model, however we find that there is a practical computing time limit which restricts the Model to a maximum of four unknown contributors. EuroForMix is the first freely open source, Continuous Model (accommodating peak height, stutter, drop-in, drop-out, population substructure and degradation), to be reported in the literature. It therefore serves an important purpose to act as an unrestricted platform to compare different solutions that are available. The implementation of the Continuous Model used in the software showed close to identical results to the R-package DNAmixtures , which requires a HUGIN Expert license to be used. An additional feature in EuroForMix is the ability for the user to adapt the Bayesian inference framework by incorporating their own prior information.
O. Alejos - One of the best experts on this subject based on the ideXlab platform.
-
Temperature dependence of spontaneous magnetization using a Continuous Model
2003 IEEE International Magnetics Conference (INTERMAG), 2003Co-Authors: E. Martinez, L. Lopez-diaz, L. Torres, O. AlejosAbstract:In this paper, we describe the temperature dependence of the spontaneous magnetisation and in particular, estimate the Curie temperature at which the ferromagnetic order is destroyed.
-
Temperature dependence of spontaneous magnetization using a Continuous Model
IEEE Transactions on Magnetics, 2003Co-Authors: E. Martinez, L. Lopez-diaz, L. Torres, O. AlejosAbstract:The temperature dependence of the spontaneous magnetization of a cubic nanoparticle of nickel has been studied. Both a micromagnetic Continuous and classical Heisenberg Models have been used. With the first one, a strong dependence of the results on cell size is found, whereas the second method reproduces the theoretical Langevin curve accurately.