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Communication Dans Un Congrès Année : 2015

Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets

Résumé

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.
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Dates et versions

hal-01170932 , version 1 (02-07-2015)

Identifiants

  • HAL Id : hal-01170932 , version 1

Citer

Antoine Liutkus, Umut Şimşekli, Taylan Cemgil. Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets. International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), Aug 2015, Liberec, Czech Republic. ⟨hal-01170932⟩
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