Abstract
Card sorting was used to gather information about facial similarity judgments. A group of raters put a set of facial photos into an unrestricted number of different piles according to each rater’s judgment of similarity. This paper proposes a linear model for 3-way analysis of similarity. An overall rating function is a weighted linear combination of ratings from individual raters. A pair of photos is considered to be similar, dissimilar, or divided, respectively, if the overall rating function is greater than or equal to a certain threshold, is less than or equal to another threshold, or is between the two thresholds. The proposed framework for 3-way analysis of similarity is complementary to studies of similarity based on features of photos.
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Acknowledgements
The authors would like to thank Dominik Ślęzak for his encouragement and the anonymous reviewers for their constructive comments. This work has been supported, in part, by two NSERC Discovery Grants.
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Hepting, D.H., Bin Amer, H.H., Yao, Y. (2018). A Linear Model for Three-Way Analysis of Facial Similarity. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 854. Springer, Cham. https://doi.org/10.1007/978-3-319-91476-3_44
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