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SIGPRO
2008
106views more  SIGPRO 2008»
15 years 6 months ago
Propagator-based methods for recursive subspace model identification
The problem of the online identification of multi-input multi-output (MIMO) state-space models in the framework of discrete-time subspace methods is considered in this paper. Seve...
Guillaume Mercère, Laurent Bako, Sté...
BEHAVIOURIT
2005
54views more  BEHAVIOURIT 2005»
15 years 6 months ago
Understanding and modelling built environments for mobile guide interface design
The research presented in this paper aims to inform interface design for mobile guides by understanding and modelling the built environments in which the guide will be used. This ...
Jeni Paay, Jesper Kjeldskov
ISBI
2004
IEEE
16 years 6 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
15 years 11 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
CORR
2006
Springer
111views Education» more  CORR 2006»
15 years 6 months ago
An associative memory for the on-line recognition and prediction of temporal sequences
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
Joy Bose, Stephen B. Furber, Jonathan L. Shapiro