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» Modelling Adaptive Systems in ForSyDe
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IADIS
2003
15 years 7 months ago
Prediction Strategies in a TV Recommender System - Method and Experiments
Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that al...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
ICASSP
2010
IEEE
15 years 6 months ago
Learning sparse systems at sub-Nyquist rates: A frequency-domain approach
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
Martin McCormick, Yue M. Lu, Martin Vetterli
JNS
2008
79views more  JNS 2008»
15 years 6 months ago
Singularly Perturbed Monotone Systems and an Application to Double Phosphorylation Cycles
The theory of monotone dynamical systems has been found very useful in the modeling of some gene, protein, and signaling networks. In monotone systems, every net feedback loop is p...
Liming Wang, Eduardo D. Sontag
E4MAS
2005
Springer
15 years 11 months ago
An Environment-Based Methodology to Design Reactive Multi-agent Systems for Problem Solving
Abstract. Even if the multi-agent paradigm has been evolving for fifteen years, the development of concrete methods for problem solving remains a major challenge. This paper focus...
Olivier Simonin, Franck Gechter
184
Voted
CVPR
2005
IEEE
16 years 8 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell