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Bayesian Network Model for Object Concept
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007This paper discusses a computational model for object concept formation. We propose a model of object concept based on the relationship between shape and function. Implementation of the proposed framework using Bayesian network is presented. At this point we need an explicit definition of object function.
Yasuhito Shinchi +2 more
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BAYESIAN VIDEO MOSAICING WITH MOVING OBJECTS
International Journal of Pattern Recognition and Artificial Intelligence, 2002This paper presents a framework that creates background, foreground and a temporal summarization of the motions in a scene. The method is based on the Dominant Motion Assumption (DMA), where the background has a parametric motion and occupies the main part of the scene.
Lluis Barceló, Xavier Binefa
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Objective Bayesianism and Geometry
1990We suggest in this paper that the concepts of utility, prior probability and entropy are not independent but must be related through the following formula: “The expected utility of a Theory is an increasing funetion of its entropy.” It follows that associated to each regular class of theories (i.e.
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On Bayesian filtering for multi-object systems
2012 46th Annual Conference on Information Sciences and Systems (CISS), 2012In Bayesian multi-object filtering, in contrast to Bayesian single object filtering, the number and the individual states of objects are to be determined in the presence noise, detection uncertainty and false alarms. The Randon Finite Set (RFS) or Finite Set Statistics (FISST) approach is a rigorous and systematic framework for estimation in multi ...
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The Principal Principle and Subjective Bayesianism
European Journal for Philosophy of Science, 2020Jon Williamson, Christian Wallmann
exaly
Troubles With Bayesianism: An Introduction to the Psychological Immune System
Mind and Language, 2019Eric Mandelbaum
exaly