Deep multi-task representation learning
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United States of America Patent
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Aug 27, 2024
Grant Date -
Jan 31, 2019
app pub date -
Mar 17, 2017
filing date -
Mar 17, 2016
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Abstract
Technologies for analyzing multi-task multimodal data to detect multi-task multimodal events using a deep multi-task representation learning, are disclosed. A combined model with both generative and discriminative aspects is used to share information during both generative and discriminative processes. The technologies can be used to classify data and also to generate data from classification events. The data can then be used to morph data into a desired classification event.
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