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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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ICASSP
2011
IEEE
14 years 1 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
104
Voted
BIS
2009
154views Business» more  BIS 2009»
14 years 10 months ago
Using Process Mining to Generate Accurate and Interactive Business Process Maps
Abstract. The quality of today's digital maps is very high. This allows for new functionality as illustrated by modern car navigation systems (e.g., TomTom, Garmin, etc.), Goo...
Wil M. P. van der Aalst
89
Voted
IJFCS
2006
130views more  IJFCS 2006»
14 years 9 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
93
Voted
HYBRID
2003
Springer
15 years 2 months ago
Mode Reconstruction for Source Coding and Multi-modal Control
s of Invited Presentations The Mathematics of Matter and the Mathematics of Mind . . . . . . . . . . . . . 1 David Berlinski A Grand Challenge: Full Reactive Modeling of a Multi-ce...
Adam Austin, Magnus Egerstedt
238
Voted
ICA
2012
Springer
13 years 5 months ago
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...