Skip to main navigation Skip to search Skip to main content

Adaptive weighted fusion: A novel fusion approach for image classification

  • Yong Xu*
  • , Yuwu Lu
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Key Laboratory of Network Oriented Intelligent Computation

Research output: Contribution to journalArticlepeer-review

Abstract

Score fusion is a very competent fusion approach and weighted score fusion is the most preferable score fusion approach. To automatically set proper weights is the most important key of weighted score fusion and it seems that there are no truly adaptive weighted fusion approaches at present. In this paper we design a perfect adaptive weighted fusion approach, which automatically determines optimal weights and no any manual setting is needed. Though the proposed approach is very simple and quite easy to implement, it can obtain better performance than previous state-of-the-art approaches.

Original languageEnglish
Pages (from-to)566-574
Number of pages9
JournalNeurocomputing
Volume168
DOIs
StatePublished - 30 Nov 2015
Externally publishedYes

Keywords

  • Adaptive weighted fusion
  • Image classification
  • Sum fusion

Fingerprint

Dive into the research topics of 'Adaptive weighted fusion: A novel fusion approach for image classification'. Together they form a unique fingerprint.

Cite this