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» Training Linear Discriminant Analysis in Linear Time
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ICML
2010
IEEE
14 years 10 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
CIVR
2006
Springer
144views Image Analysis» more  CIVR 2006»
15 years 1 months ago
A Linear-Algebraic Technique with an Application in Semantic Image Retrieval
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
BC
1999
108views more  BC 1999»
14 years 9 months ago
Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
An ecient new method for the exact digital simulation of time-invariant linear systems is presented. Such systems are frequently encountered as models for neuronal systems, or as s...
Stefan Rotter, Markus Diesmann
VLSISP
2010
254views more  VLSISP 2010»
14 years 8 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
AGP
1999
IEEE
15 years 2 months ago
Freeness Analysis through Linear Refinement
Domains Decomposing Non-Redundant Sharing by Complementation . . . . . . . . . . . . . 69 Enea Zaffanella, Patricia M. Hill, Roberto Bagnara Freeness Analysis Through Linear Refine...
Patricia M. Hill, Fausto Spoto