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ICMLA
2007
14 years 11 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
14 years 11 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber
JAIR
2010
77views more  JAIR 2010»
14 years 8 months ago
Resource-Driven Mission-Phasing Techniques for Constrained Agents in Stochastic Environments
Because an agent’s resources dictate what actions it can possibly take, it should plan which resources it holds over time carefully, considering its inherent limitations (such a...
E. H. Durfee Wu, Edmund H. Durfee
ICCSA
2003
Springer
15 years 2 months ago
Coupling Tangent-Linear and Adjoint Models
Abstract. We consider the solution of a (generalized) eigenvalue problem arising in physical oceanography that involves the evaluation of both the tangent-linear and adjoint versio...
Uwe Naumann, Patrick Heimbach
EUROPAR
1998
Springer
15 years 1 months ago
Parallel Sparse Matrix Computations Using the PINEAPL Library: A Performance Study
Abstract. The Numerical Algorithms Group Ltd is currently participating in the European HPCN Fourth Framework project on Parallel Industrial NumErical Applications and Portable Lib...
Arnold R. Krommer