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TSP
2008
180views more  TSP 2008»
15 years 6 months ago
Support Vector Machine Training for Improved Hidden Markov Modeling
We present a discriminative training algorithm, that uses support vector machines (SVMs), to improve the classification of discrete and continuous output probability hidden Markov ...
Alba Sloin, David Burshtein
JSA
2007
123views more  JSA 2007»
15 years 6 months ago
Application of deterministic and stochastic Petri-Nets for performance modeling of NoC architectures
The design of appropriate communication architectures for complex Systems-on-Chip (SoC) is a challenging task. One promising alternative to solve these problems are Networks-on-Ch...
Holger Blume, Thorsten von Sydow, Daniel Becker, T...
CAD
2004
Springer
15 years 6 months ago
A concurrent engineering-oriented design database representation model
A concurrent engineering-oriented design database representation model (CE-DDRM) is introduced in this research for supporting various life-cycle aspects in concurrent design. In ...
Deyi Xue, Haoguang Yang
CCE
2004
15 years 6 months ago
On the use of reduced order models in bifurcation analysis of distributed parameter systems
Bifurcation theory provides a powerful tool for analyzing the nonlinear dynamic behavior of process systems. However, although the theory in principle applies to lumped as well as...
Yi Liu, Elling W. Jacobsen
CSL
2004
Springer
15 years 6 months ago
Factor analysed hidden Markov models for speech recognition
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
Antti-Veikko I. Rosti, M. J. F. Gales