In this paper, a simple vector space is induced by considering log-likelihoods of the HMMs (per-class) as dimensions. Experimental results show that the ...
Abstract. Even though hidden Markov models (HMMs) have been used for the automatic classification of volcanic earthquakes, their usage has.
Experimental results show that the discriminative classification in such an induced space leads to better performances than those obtained with the standard ...
In this paper, a simple vector space is induced by considering log-likelihoods of the HMMs (per-class) as dimensions. Experimental results show that the ...
Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces. Riccardo Avesani Alessio Azzoni Manuele Bicego Mauricio Orozco-Alzate.
In this paper, a simple vector space is induced by considering log-likelihoods of the HMMs (per-class) as dimensions. Experimental results show that the ...
In this paper we propose an automatic volcano event detection system based on Hidden Markov Model (HMM) with state and event duration models.
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Riccardo Avesani, Alessio Azzoni, Manuele Bicego, Mauricio Orozco-Alzate : Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces.
Sep 26, 2018 · This paper presents a method to automatically classify seismic events linked to volcanic activity. As increased seismic activity is an indicator of volcanic ...
Mar 3, 2023 · This study was aimed to build a multi-station automatic classification system for volcanic seismic signatures such as hybrid, long period, tremor, tectonic, ...