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  • Machine Learning for Multi-Sensory Data

    Fj236235q?file=thumbnail
    Description:
    In this dissertation, we study different machine learning algorithms including probabilistic, sparse and deep learning based models applied to multi-sensory datasets. In many machine learning problems, samples are collected from more than one source or modality. Also, various feature extraction methods can be used to provide more than one set...
    Subject:
    Computer science
    Creator:
    Rohani, Neda
    Owner:
    Scholarly Digital Publishing
    Language:
    en
    Date Uploaded:
    02/12/2020
    Date Created:
    2018-01-01
    Resource Type:
    Dissertation
    Alternate Identifier:
    http://dissertations.umi.com/northwestern:14441 and etdadmin_upload_625710