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» A Reduced-Basis Element Method
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135
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CSC
2006
15 years 5 months ago
Statistical Analysis of Linear Random Differential Equation
In this paper, a new method is proposed in order to evaluate the stochastic solution of linear random differential equation. The method is based on the combination of the probabili...
Seifedine Kadry
111
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CVPR
2011
IEEE
14 years 11 months ago
Multifactor Analysis Based on Factor-Dependent Geometry
This paper proposes a novel method that preserves the geometrical structure created by variation of multiple factors in analysis of multiple factor models, i.e., multifactor analy...
Sung Won Park
120
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
112
Voted
DKE
2006
67views more  DKE 2006»
15 years 3 months ago
Indexed-based density biased sampling for clustering applications
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
Alexandros Nanopoulos, Yannis Theodoridis, Yannis ...
151
Voted
PPSC
1993
15 years 5 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. ...