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EmoNets: Multimodal deep learning approaches for emotion recognition in video.

, , , , , , , , , , , , , , , , , и . CoRR, (2015)

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Eugen Boulanger

Werner Boulanger

Günther Boulanger

Horst Boulanger

Christian Boulanger

 

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Exploiting long-term temporal dependencies in NMF using recurrent neural networks with application to source separation., , и . ICASSP, стр. 6969-6973. IEEE, (2014)Combining modality specific deep neural networks for emotion recognition in video., , , , , , , , , и 17 other автор(ы). ICMI, стр. 543-550. ACM, (2013)Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription., , и . ICML, icml.cc / Omnipress, (2012)EmoNets: Multimodal deep learning approaches for emotion recognition in video., , , , , , , , , и 8 other автор(ы). CoRR, (2015)High-dimensional sequence transduction., , и . ICASSP, стр. 3178-3182. IEEE, (2013)Audio Chord Recognition with a Hybrid Recurrent Neural Network., , и . ISMIR, стр. 127-133. (2015)Audio Chord Recognition with Recurrent Neural Networks., , и . ISMIR, стр. 335-340. (2013)High-dimensional sequence transduction, , и . CoRR, (2012)Deep Self-Taught Learning for Handwritten Character Recognition, , , , , , , , , и 7 other автор(ы). CoRR, (2010)EmoNets: Multimodal deep learning approaches for emotion recognition in video., , , , , , , , , и 8 other автор(ы). J. Multimodal User Interfaces, 10 (2): 99-111 (2016)