Kinship, friendship alliances, and perceptions of others' beliefs guide social interactions and are central to cohesive group behavior. Under certain conditions, brain systems that involve regions along the frontal midline increase activity when inferences are drawn about others who share a similar view to one's own (similarity). A prominent hypothesis is that these regions contribute to social...

Research has shown that mothers often differentiate among their adult children in terms of closeness and support; however, studies have not addressed why some mothers report preferences among children and others do not. To distinguish between mothers who do and do not report favouring some of their adult children, we used data from a within-family study in which 553 older mothers were interview...

Offer generation is an important mechanism in automated negotiation, in which a negotiating agent needs to select bids close to the opponent preference to increase their chance of being accepted. The existing offer generation approaches are either random, require partial knowledge of opponent preference or are domain-dependent. In this paper, we investigate and compare two vector similarity fun...

The dynamics of the melodic line is a crucial feature for the temporal variability of the tonal content of a song, and it determines its characteristic mood pattern. A method based on the measure of the variation of the pitch over the song time is proposed as a tool to characterize the music similarity. The pitch-variation vs. time matrices of each of the analyzed song are compared to achieve a...

Boundary is an important characteristic to describe a shape in computer vision and image retrieval. A normalized Canonical Polygonal Representation (NCPR) which represents uniquely a polygonal boundary was introduced in the previous study. The objective of this study is to show 1) how a shape feature can be obtained from NCPR, 2) how to utilize this shape feature in shape comparison, 3) to expl...

In this paper, a new method of representing two-dimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for clustering shapes is proposed. A k-mutual nearest neighborhood approach for clustering two-dimensional shapes is presented. The proposed shape representation scheme is invariant to similarity transformations and the clustering ...

A new method for solving intuitionistic fuzzy multi-attribute decision making problem is proposed, in which the information of attribute weights is incompletely known. Considering much information about hesitancy and vagueness inherited to intuitionistic fuzzy sets, a new class of distance for describing the deviation degrees between intuitionistic fuzzy sets is introduced. Furthermore, the mea...

This technical report presents a new similarity metric to characterize the closeness between a k-mer and a background, which can be a whole genomic DNA sequence or a collection of non-coding regions of relevant species. Such a similarity metric plays an important role in modeling DNA regulatory motifs, and also it will provide us with a sensible and interpretable measure for data assignments in...

Producing overlapping schemes is a major issue in clustering. Recent proposed overlapping methods relies on the search of an optimal covering and are based on different metrics, such as Euclidean distance and I-Divergence, used to measure closeness between observations. In this paper, we propose the use of another measure for overlapping clustering based on a kernel similarity metric .We also e...