2-D fast Kalman algorithms for adaptive parameter estimation of nonhomogeneous Gaussian Markov random field model

1994 ◽  
Vol 41 (10) ◽  
pp. 678-692 ◽  
Author(s):  
C.R. Zou ◽  
E.I. Plotkin ◽  
M.N.S. Swamy
Keyword(s):  
Parameter Estimation ◽  
Random Field ◽  
Markov Random Field ◽  
Field Model ◽  
Random Field Model ◽  
Markov Random Field Model ◽  
Gaussian Markov Random Field ◽  
Adaptive Parameter ◽  
Markov Random

Conditional cyclic Markov random fields

1996 ◽  
Vol 28 (1) ◽  
pp. 1-12 ◽  
Author(s):  
John T. Kent ◽  
Kanti V. Mardia ◽  
Alistair N. Walder
Keyword(s):  
Random Field ◽  
Markov Random Field ◽  
Random Fields ◽  
Markov Random Fields ◽  
Field Model ◽  
Random Field Model ◽  
Markov Random Field Model ◽  
Gaussian Markov Random Field ◽  
Markov Random ◽  
Limiting Behaviour

Grenander et al. (1991) proposed a conditional cyclic Gaussian Markov random field model for the edges of a closed outline in the plane. In this paper the model is recast as an improper cyclic Gaussian Markov random field for the vertices. The limiting behaviour of this model when the vertices become closely spaced is also described and in particular its relationship with the theory of ‘snakes' (Kass et al. 1987) is established. Applications are given in Grenander et al. (1991), Mardia et al. (1991) and Kent et al. (1992).

Conditional cyclic Markov random fields

1996 ◽  
Vol 28 (01) ◽  
pp. 1-12 ◽  
Author(s):  
John T. Kent ◽  
Kanti V. Mardia ◽  
Alistair N. Walder
Keyword(s):  
Random Field ◽  
Markov Random Field ◽  
Random Fields ◽  
Markov Random Fields ◽  
Field Model ◽  
Random Field Model ◽  
Markov Random Field Model ◽  
Gaussian Markov Random Field ◽  
Markov Random ◽  
Limiting Behaviour

Grenander et al. (1991) proposed a conditional cyclic Gaussian Markov random field model for the edges of a closed outline in the plane. In this paper the model is recast as an improper cyclic Gaussian Markov random field for the vertices. The limiting behaviour of this model when the vertices become closely spaced is also described and in particular its relationship with the theory of ‘snakes' (Kass et al. 1987) is established. Applications are given in Grenander et al. (1991), Mardia et al. (1991) and Kent et al. (1992).

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