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NIPS
2008
15 years 7 months ago
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
Many nonlinear dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
ACL
1997
15 years 7 months ago
Maximal Incrementality in Linear Categorial Deduction
Recent work has seen the emergence of a common framework for parsing categorial grammar (CG) formalisms that fall within the 'type-logical' tradition (such as the Lambek...
Mark Hepple
AUTOMATICA
2004
113views more  AUTOMATICA 2004»
15 years 6 months ago
Ellipsoidal bounds for uncertain linear equations and dynamical systems
In this paper, we discuss semidefinite relaxation techniques for computing minimal size ellipsoids that bound the solution set of a system of uncertain linear equations. The propo...
Giuseppe Carlo Calafiore, Laurent El Ghaoui
148
Voted
TIT
1998
158views more  TIT 1998»
15 years 5 months ago
Modulation and Coding for Linear Gaussian Channels
—Shannon’s determination of the capacity of the linear Gaussian channel has posed a magnificent challenge to succeeding generations of researchers. This paper surveys how this...
G. David Forney Jr., Gottfried Ungerboeck
177
Voted
ICASSP
2011
IEEE
14 years 10 months ago
Compressed classification of observation sets with linear subspace embeddings
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
Dorina Thanou, Pascal Frossard