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» Parallel matrix algorithms and applications
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ICASSP
2011
IEEE
13 years 1 months ago
Augmented complex matrix factorisation
A novel framework for the factorisation of complex-valued data is derived using recent developments in complex statistics. Unlike existing factorisation tools the algorithms can c...
David Looney, Danilo P. Mandic
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 10 months ago
Stiffness Analysis Of Multi-Chain Parallel Robotic Systems
: The paper presents a new stiffness modelling method for multi-chain parallel robotic manipulators with flexible links and compliant actuating joints. In contrast to other works, ...
Anatoly Pashkevich, Damien Chablat, Philippe Wenge...
ECOOPW
1998
Springer
14 years 2 months ago
Development and Utilization of Parallel Generic Algorithms for Scientific Computations
We develop generic parallel algorithms as extensible modules that encapsulate related classes and parallel methods. Extensible modules define common parallel structures, such as m...
Atanas Radenski, A. Vann, Boyana Norris
CIKM
2010
Springer
13 years 8 months ago
Yes we can: simplex volume maximization for descriptive web-scale matrix factorization
Matrix factorization methods are among the most common techniques for detecting latent components in data. Popular examples include the Singular Value Decomposition or Nonnegative...
Christian Thurau, Kristian Kersting, Christian Bau...
PPSC
1993
13 years 11 months ago
A Matrix Framework for Conjugate Gradient Methods and Some Variants of CG with Less Synchronization Overhead
We will present a matrix framework for the conjugate gradient methods, which is expressed in terms of whole vector sequences instead of single vectors or initial parts of sequence...
Eduardo F. D'Azevedo, Victor Eijkhout, Charles H. ...