Bayesian action-perception computational model: interaction of production and recognition of cursive letters

HIGHLIGHTS

• who: Estelle Gilet and colleagues from the CNRS, Université Pierre-Mendès-France, Grenoble, France, Laboratoire d'Informatique de Grenoble, INRIA Rhône-Alpes, CNRS, Montbonnot, FranceEditor: Olaf Sporns, Indiana University, United States of America have published the research work: Bayesian Action-Perception Computational Model: Interaction of Production and Recognition of Cursive Letters, in the Journal: (JOURNAL) of January/26,/2011
• what: The authors propose a mathematical formulation for the whole perception-action loop based on probabilistic modeling and Bayesian inference which the authors call the Bayesian Action-Perception (BAP) model. Being a model of . . .
  

   

  

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