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Introduction

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Information Fusion

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Abstract

“Information Fusion” plays a key role in many fields, e.g., machine learning, deep learning, and pattern recognition etc. It is capable of fusing multiple features, modalities, views or algorithms, greatly contributing to the performance improvement in many applications. This chapter introduces what is “Information Fusion”, reviews the history of information fusion and analyzes the main contributions of this book. After reading this chapter, people will have some shallow ideas on information fusion.

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Authors and Affiliations

  1. Harbin Institute of Technology, Shenzhen School of Computer Science and Technology Xili, Nanshan, Shenzhen, China

    Jinxing Li

  2. Department of Computer and Information Science, The University of Macau, Macau, China

    Bob Zhang

  3. School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China

    David Zhang

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  1. Jinxing Li
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  2. Bob Zhang
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  3. David Zhang
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Li, J., Zhang, B., Zhang, D. (2022). Introduction. In: Information Fusion. Springer, Singapore. https://doi.org/10.1007/978-981-16-8976-5_1

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  • DOI: https://doi.org/10.1007/978-981-16-8976-5_1

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