Previous research on self-other similarity judgments has demonstrated that perceived similarity between self and other depends on the focus of comparison. Based on the Selective Accessibility model, which assumes that comparisons with similar others yield assimilation, whereas comparisons with dissimilar others yield contrast, the author hypothesized that the focus of a social comparison would ...

Histograms are an intuitively understandable tool for graphically presenting frequency data that is available for and useful in modern data-analysis, this also makes comparing histograms an interesting field of research. The concept of similarity and similarity measures have been gaining in importance, because similarity and similarity measures can be used to replace the simpler distance measur...

Kitcher (1996) offers a critique of connectionism based on the belief that connectionist information processing relies inherently on metric similarity relations. Metric similarity measures are independent of the order of comparison (they are symmetrical) whereas human similarity judgments are asymmetrical. We answer this challenge by describing how connectionist systems naturally produce asymme...

Multivariate time series (MTS) data are ubiquitous in science and daily life, and how to measure their similarity is a core part of MTS analyzing process. Many of the research efforts in this context have focused on proposing novel similarity measures for the underlying data. However, with the countless techniques to estimate similarity between MTS, this field suffers from a lack of comparative...

Homologous proteins are often compared by pairwise sequence alignment, and structure superposition if the atomic coordinates available. Unification of data is an important task in structural biology. Here, we present Sequence Similarity 3D (SS3D) method integrating information. SS3D a distance substitution matrix-based for straightforward visualization regions similarity difference between homo...

Abstract Content-based image retrieval (CBIR) methods search for points with the most similar content to query features from within a large dataset. The notable approach this purpose is an approximate nearest neighbor (ANN) searching. main properties expected system can be listed as follows; low storage requirement, high retrieve speed, and average precision. Hashing, which generate discriminat...

Similarity measures, originally introduced to express the degree of comparison between two fuzzy sets, can be applied in several ways to digital images. In [1–3] we have shown how similarity measures were used for the construction of image quality evaluation measures. In this paper we illustrate how fuzzy similarity measures can be useful for the comparison of histograms of digital images. We w...