Concluding Remarks
Abstract
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.
Recommended Citation
L. Meng et al., "Concluding Remarks," Advanced Information and Knowledge Processing, pp. 175 - 179, Springer London, May 2019.
The definitive version is available at https://doi.org/10.1007/978-3-030-02985-2_8
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
International Standard Serial Number (ISSN)
1610-3947
Document Type
Book - Chapter
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Springer London, All rights reserved.
Publication Date
01 May 2019
