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DYNAMIC HYBRID MODELS FOR MULTIMODAL ANALYSIS

  • US 20160071024A1
  • Filed: 02/25/2015
  • Published: 03/10/2016
  • Est. Priority Date: 02/25/2014
  • Status: Active Grant
First Claim
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1. A multimodal data analyzer comprising instructions embodied in one or more non-transitory machine accessible storage media, the multimodal data analyzer configured to cause a computing system comprising one or more computing devices to:

  • access a set of time-varying instances of multimodal data having at least two different modalities, each instance of the multimodal data having a temporal component; and

    algorithmically learn a feature representation of the temporal component of the multimodal data using a deep learning architecture.

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