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Multimedia Data Learning

In: Machine Learning for Data Science Handbook

Author

Listed:
  • Zhongfei Mark Zhang

    (State University of New York, Binghamton University
    Microsoft AI & Research)

  • Ruofei Bruce Zhang

    (Google)

Abstract

Multimedia data learning (a.k.a. multimedia data mining) is an emerging, multidisciplinary, and interdisciplinary research area with a wide spectrum of real-world applications related to a wide suite of areas noticeably including machine learning, artificial intelligence, data mining, multimedia, computer vision, and natural language processing. This chapter introduces important and fundamental concepts and theories of this area and provides further references.

Suggested Citation

  • Zhongfei Mark Zhang & Ruofei Bruce Zhang, 2023. "Multimedia Data Learning," Springer Books, in: Lior Rokach & Oded Maimon & Erez Shmueli (ed.), Machine Learning for Data Science Handbook, edition 0, pages 423-446, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-24628-9_19
    DOI: 10.1007/978-3-031-24628-9_19
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