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Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets
Abstract : We focus on the problem of analyzing corpora composed of irregularly sampled (multi-rate) heterogeneous temporal data. We propose a novel convolutive multi-rate factorization model for extracting multi-modal patterns from such multi-rate data. Our model builds up on previously proposed multi-view (coupled) nonnegative matrix factor-ization techniques, and extends them by accounting for heterogeneous sample rates and enabling the patterns to have a duration. We illustrate the proposed methodology on the joint study of audiovisual data for speech analysis.
Cited literature [14 references]
https://hal.inria.fr/hal-01170932
Contributor : Antoine Liutkus <>
Submitted on : Thursday, July 2, 2015 - 3:13:09 PM
Last modification on : Friday, March 6, 2020 - 8:56:02 PM
Document(s) archivé(s) le : Tuesday, April 25, 2017 - 11:27:11 PM
Contributor : Antoine Liutkus <>
Submitted on : Thursday, July 2, 2015 - 3:13:09 PM
Last modification on : Friday, March 6, 2020 - 8:56:02 PM
Document(s) archivé(s) le : Tuesday, April 25, 2017 - 11:27:11 PM
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lva_convolutive_final.pdf
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