Classification of varying length multivariate time series using Gaussian mixture models and support vector machines

DOI10.1504/IJDMMM.2010.033537zbMath1207.68239OpenAlexW2131227230MaRDI QIDQ601273

C. Chandra Sekhar, S. Chandrakala

Publication date: 4 November 2010

Published in: International Journal of Data Mining, Modelling and Management (IJDMMM) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1504/ijdmmm.2010.033537

zbMATH Keywords

support vector machinesGMMGaussian mixture modelSVMtime series classificationaudio clip classificationscore vector representationspeech emotion recognitionvarying length time seriesvector sets

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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