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DAGSTUHL
2007
15 years 10 days ago
Convergence of iterative aggregation/disaggregation methods based on splittings with cyclic iteration matrices
Iterative aggregation/disaggregation methods (IAD) belong to competitive tools for computation the characteristics of Markov chains as shown in some publications devoted to testing...
Ivo Marek, Ivana Pultarová, Petr Mayer
AUTOMATICA
2008
139views more  AUTOMATICA 2008»
14 years 11 months ago
Structured low-rank approximation and its applications
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Ivan Markovsky
AUTOMATICA
2008
88views more  AUTOMATICA 2008»
14 years 11 months ago
Parameter ranking by orthogonalization - Applied to nonlinear mechanistic models
The paper addresses methods for parameter sensitivity analysis in a large, nonlinear, mechanistic model which is to be run in an online estimation scheme. The parameter sensitivit...
Berit Floor Lund, Bjarne A. Foss
88
Voted
CVPR
2005
IEEE
16 years 27 days ago
Optimal Point Correspondence through the Use of Rank Constraints
We propose a solution to the n-frame correspondence problem under the factorization framework. During the matching process, our algorithm takes explicitly into account the geometr...
João Costeira, João Xavier, Ricardo ...
90
Voted
STACS
2007
Springer
15 years 5 months ago
A New Rank Technique for Formula Size Lower Bounds
We exactly determine the formula size of the parity function. If n = 2 + k, where 0 ≤ k < 2 , then the formula size of parity on n bits is 2 (2 + 3k) = n2 + k2 − k2 . Khrap...
Troy Lee