Stochastic-based pattern-recognition analysis

  • Authors:

  • Vincent Canals;Antoni Morro;Josep L. Rosselló

  • Affiliations:

  • Electronic Systems Group, Physics Department, Universitat de les Illes Balears, Edifici Mateu Orfila, Cra. Valldemossa km. 7.5, 07122 Palma de Mallorca, Balears, Spain;Electronic Systems Group, Physics Department, Universitat de les Illes Balears, Edifici Mateu Orfila, Cra. Valldemossa km. 7.5, 07122 Palma de Mallorca, Balears, Spain;Electronic Systems Group, Physics Department, Universitat de les Illes Balears, Edifici Mateu Orfila, Cra. Valldemossa km. 7.5, 07122 Palma de Mallorca, Balears, Spain

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2010

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Abstract

In this work we review the basic principles of stochastic logic and propose its application to probabilistic-based pattern-recognition analysis. The proposed technique is intrinsically a parallel comparison of input data to various pre-stored categories using Bayesian techniques. We design smart pulse-based stochastic-logic blocks to provide an efficient pattern-recognition analysis. The proposed architecture is applied to a specific navigation problem.