Concluding Remarks

  • Lei MengEmail author
  • Ah-Hwee Tan
  • Donald C. Wunsch II
Part of the Advanced Information and Knowledge Processing book series (AI&KP)


This chapter summarizes the major contributions in this book and discusses their possible positions and requirements in some future scenarios. Section 8.1 follows the book structure to revisit the key contributions of this book in both theories and applications. The developed algorithms, such as the VA-ARTs for hyperparameter adaptation and the GHF-ART for multimedia representation and fusion, and the four applications, such as clustering and retrieving socially enriched multimedia data, are concentrated using one paragraph and three paragraphs, respectively. In Sect. 8.2, the roles of the proposed ART-embodied algorithms in social media clustering tasks are highlighted, and their possible evolutions using the state-of-the-art representation learning techniques to fit the increasingly rich social media data and demands are discussed.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.NTU-UBC Research Center of Excellence in Active Living for the Elderly (LILY)Nanyang Technological UniversitySingaporeSingapore
  2. 2.School of Computer Science and EngineeringNanyang Technological UniversitySingaporeSingapore
  3. 3.Applied Computational Intelligence LaboratoryMissouri University of Science and TechnologyRollaUSA

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