A Linear Model for Three-Way Analysis of Facial Similarity (2018)




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.



	Author =  “Hepting, Daryl H. and {Bin Amer}, Hadeel Hatim and Yao, Yiyu”,
	Title =  “A Linear Model for Three-Way Analysis of Facial Similarity”,
	Url = "http://www2.cs.uregina.ca/~hepting/research/works/2018-06-HepBinYao-A-Linear-Model-for-Three-Way-Analysis-of-Facial-Similarity.html",
	Editor =  “Medina, Jes{'u}s and Ojeda-Aciego, Manuel and Verdegay, Jos{'e} Luis and Pelta, David A. and Cabrera, Inma P. and Bouchon-Meunier, Bernadette and Yager, Ronald R.”,
	Address =  “Cham”,
	Booktitle =  “Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations”,
	Doi =  “10.1007/978-3-319-91476-3_44”,
	Isbn =  “978-3-319-91476-3”,
	Keywords =  “similarity, three-way decision, card sorting, linear model”,
	Month =  “June”,
	Pages =  “528–537”,
	Publisher =  “Springer International Publishing”,
	Series =  “Communications in Computer and Information Science”,
	Volume =  “854”,
	Year =  “2018”,

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