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ICPR
2000
IEEE
16 years 7 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
IJON
2008
156views more  IJON 2008»
15 years 6 months ago
Structural identifiability of generalized constraint neural network models for nonlinear regression
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Courn&eg...
WSC
2001
15 years 8 months ago
Resampling methods for input modeling
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
Russell R. Barton, Lee Schruben
SODA
2004
ACM
111views Algorithms» more  SODA 2004»
15 years 8 months ago
Fast mixing for independent sets, colorings and other models on trees
We study the mixing time of the Glauber dynamics for general spin systems on bounded-degree trees, including the Ising model, the hard-core model (independent sets) and the antife...
Fabio Martinelli, Alistair Sinclair, Dror Weitz
ISORC
1999
IEEE
15 years 11 months ago
v-Promela: A Visual, Object-Oriented Language for SPIN
We describe the design of VIP, a graphical front-end to the model checker SPIN. VIP supports a visual formalism, called v-Promela that connects the model checker to modern hierarc...
Stefan Leue, Gerard J. Holzmann
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