1. DSpace at MEDIU
  2. Harvested articles مقالات مستوردة من مؤسسات وجامعات عالمية
  3. MIT Items
Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6012
Full metadata record
DC FieldValueLanguage
dc.creatorPoggio, Tomaso-
dc.creatorGirosi, Federico-
dc.date2004-10-04T14:35:49Z-
dc.date2004-10-04T14:35:49Z-
dc.date1990-12-01-
dc.date.accessioned2013-10-09T02:42:24Z-
dc.date.available2013-10-09T02:42:24Z-
dc.date.issued2013-10-09-
dc.identifierAIM-1168-
dc.identifierhttp://hdl.handle.net/1721.1/6012-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionMarroquin and Ramirez (1990) have recently discovered a class of discrete stochastic cellular automata with Gibbsian invariant measures that have a non-reversible dynamic behavior. Practical applications include more powerful algorithms than the Metropolis algorithm to compute MRF models. In this paper we describe a large class of stochastic dynamical systems that has a Gibbs asymptotic distribution but does not satisfy reversibility. We characterize sufficient properties of a sub-class of stochastic differential equations in terms of the associated Fokker-Planck equation for the existence of an asymptotic probability distribution in the system of coordinates which is given. Practical implications include VLSI analog circuits to compute coupled MRF models.-
dc.format6 p.-
dc.format35936 bytes-
dc.format134518 bytes-
dc.formatapplication/octet-stream-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-1168-
dc.subjectMRFs-
dc.subjectcellular automata-
dc.subjectFokker-Planck-
dc.subjectVLSI analog circuits-
dc.titleContinuous Stochastic Cellular Automata that Have a Stationary Distribution and No Detailed Balance-
Appears in Collections:MIT Items

Files in This Item:
There are no files associated with this item.
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.