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MMAS
2010
Springer
14 years 11 months ago
Markov Chain Stochastic Parametrizations of Essential Variables
We analyze the performance of the novel Markov chain stochastic modeling technique for derivation of effective equations for a set of essential variables. This technique is an empi...
K. Nimsaila, I. Timofeyev
ICCV
2001
IEEE
16 years 6 months ago
Stochastic Processes in Vision: From Langevin to Beltrami
Diffusion processes which are widely used in low level vision are presented as a result of an underlying stochastic process. The short-time non-linear diffusion is interpreted as ...
Nir A. Sochen
MOC
1998
89views more  MOC 1998»
15 years 4 months ago
Approximation of continuous time stochastic processes by a local linearization method
This paper investigates the rate of convergence of an alternative approximation method for stochastic differential equations. The rates of convergence of the one-step and multi-st...
Isao Shoji
VOSS
2004
Springer
118views Mathematics» more  VOSS 2004»
15 years 9 months ago
Serial Disk-based Analysis of Large Stochastic Models
Abstract. The paper presents a survey of out-of-core methods available for the analysis of large Markov chains on single workstations. First, we discuss the main sparse matrix stor...
Rashid Mehmood
ICPR
2008
IEEE
15 years 11 months ago
Numerical analysis of Mahalanobis metric in vector space
The Mahalanobis metric was proposed by extending the Mahalanobis distance to provide a probabilistic distance for a non-normal distribution. The Mahalanobis metric equation is a n...
Joken Son, Naoya Inoue, Yukihiko Yamashita