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EUROPAR
2000
Springer
15 years 5 months ago
A Statistical-Empirical Hybrid Approach to Hierarchical Memory Analysis
A hybrid approach that utilizes both statistical techniques and empirical methods seeks to provide more information about the performance of an application. In this paper, we prese...
Xian-He Sun, Kirk W. Cameron
TASLP
2008
154views more  TASLP 2008»
15 years 1 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...
EOR
2007
110views more  EOR 2007»
15 years 1 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
CDC
2008
IEEE
15 years 8 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
HASE
1997
IEEE
15 years 5 months ago
Analytical Modelling and Evaluation of Phased-Mission Systems for Space Applications
This paper deals with the modelling and evaluation of mission-phased systems devoted to space applications. We propose a two level hierarchical method that allows to model such sy...
Andrea Bondavalli, Ivan Mura, Manuela Nelli