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Information Fusion Based on Score/Weight Classifier Fusion

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Information Fusion

Abstract

By applying different classifiers to the classification, multiple classification scores will be generated. Generally, different classifiers enjoy their own advantages and disadvantages, and only a simple classifier usually fails to robustly achieve the classification. To jointly exploit the advantages of different classifiers, it is significant to use the score fusion. This chapter proposes two score fusion methods and applies them to classification. After reading this chapter, people can have preliminary knowledge on score fusion algorithms.

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Author information

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

Authors
  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). Information Fusion Based on Score/Weight Classifier Fusion. In: Information Fusion. Springer, Singapore. https://doi.org/10.1007/978-981-16-8976-5_6

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  • DOI: https://doi.org/10.1007/978-981-16-8976-5_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8975-8

  • Online ISBN: 978-981-16-8976-5

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