Bibtex entry: Dissimilarity-based classification of seismic volcanic signals at Nevado del Ruiz volcano
@ARTICLE{Orozco2006b,
    author = {Orozco-Alzate, Mauricio and Garc{\'{\i}}a-Ocampo, Marcelo Enrique and Duin, Robert P. W. and Castellanos-Dom{\'{\i}}nguez, C{\'{e}}sar Germ{\'{a}}n},
     month = dec,
     title = {Dissimilarity-based classification of seismic volcanic signals at {N}evado del {R}uiz volcano},
   journal = {Earth Sciences Research Journal},
    volume = {10},
    number = {2},
      year = {2006},
     pages = {57--65},
       url = {http://www.scielo.unal.edu.co/scielo.php?script=sci_arttext&pid=S1794-61902006000200001&lng=en&nrm=iso},
  abstract = {Automatic classification of seismic signals has been typically carried out on feature-based representations. Recent research works have shown that constructing classifiers on dissimilarity representations is a more practical and, sometimes, a more accurate solution for some pattern recognition problems. In this paper, we consider Bayesian classifiers constructed on dissimilarity representations. We show that such classifiers, based on dissimilarities, are a feasible and reliable alternative for automatic classification of seismic signals. Our experiments were conducted on a dataset containing seismic signals recorded by two selected stations of the Nevado del Ruiz monitoring network. Dissimilarity representations were constructed by calculating pairwise Euclidean distances and a non-Euclidean measure on the normalized spectra, which is based on the area difference between spectral curves. Results show that even though Euclidean dissimilarities have advantageous properties, non-Euclidean measures can be beneficial for matching spectra of seismic signals.},
mytype={myarticles}
}
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