Now showing items 1-2 of 2

    • A new approach to segmentation of remote sensing images with hidden markov models 

      Baumgartner, Josef; Scavuzzo, Marcelo; Rodríguez Rivero, Cristian; Pucheta, Julián (2014)
      In this work, we present a new segmentation algorithm for remote sensing images based on two-dimensional Hidden Markov Models (2D-HMM). In contrast to most 2D-HMM approaches, we do not use Viterbi Training, instead we ...
    • Forecasting noisy time series approximated by neural networks 

      Rodríguez Rivero, Cristian; Pucheta, Julián; Baumgartner, Josef; Patiño, H. Daniel; Laboret, Sergio; Otaño, Paula (2014)
      In this work, a proposed methodology for univariate noisy time series prediction approximated by artificial neural networks (ANN) is applied to the problem of forecasting monthly rainfall precipitation in Cuesta El ...