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» Value chain modelling using system dynamics
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ICML
2010
IEEE
15 years 5 months ago
Learning the Linear Dynamical System with ASOS
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
James Martens
CVIU
2006
162views more  CVIU 2006»
15 years 4 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
ESANN
2004
15 years 5 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger
CDC
2009
IEEE
15 years 9 months ago
Dynamic practical stabilization of sampled-data linear distributed parameter systems
Abstract— In this paper, dynamic practical stability properties of infinite-dimensional sampled-data systems are discussed. A family of finite-dimensional discrete-time control...
Ying Tan, Emmanuel Trélat, Yacine Chitour, ...
AICT
2005
IEEE
115views Communications» more  AICT 2005»
15 years 10 months ago
Models for the Supervision of Web Services Orchestration with Dynamic Changes
Programming on the Web enlights some classical problems encountered on large distributed applications with a particular emphasis on dynamic changes. In that context, we are intere...
Thomas Chatain, Claude Jard