Due to the growing volume of digital image data in recent years, the demand and necessity for a system that can manage large image sets are rising. It is vital to create sophisticated retrieval functions in order to enhance the user’s convenience. A lot of attention is now being placed on feature-based similarity retrieval which employs features extracted automatically from images. We have been...

The image quality assessment has been widely used in image processing. Several researches have been developed and carried considering the Human Visual System (HVS). Under the hypothesis that human visual perception is extremely adapted to retrieve structural information from a scene, the SSIM index is the most widely used in this area, which leads to a better correlation with HVS. Despite its r...

An important research issue in the field of multimedia databases is the retrieval of similar objects. For most applications in multimedia databases, an exact search is not meaningful. Thus, much effort has been devoted to develop efficient and effective similarity search techniques. A widely used approach for implementing similarity search engines is the feature-based approach. In this approach...

Discharge patterns produced by fibres from normal and impaired auditory nerves in response to speech and other complex sounds can be discriminated subjectively through visual inspection. Similarly, responses from auditory nerves where speech is presented at diminishing sound levels progressively deteriorate from those at normal listening levels. This paper presents a Neurogram Similarity Index ...

A new algorithm for quantitative assessment of similarity between two atoms in molecules is presented. Both the atomic similarity index and its derivatives with respect to the three Euler angles that describe the mutual orientation of the atoms under comparison are computed efficiently by taking advantage of the recently developed analytical representations for atomic zero-flux surfaces. The us...

In today’s digital society, electronic information is increasingly shared among different entities, and decisions are made based on common attributes. To address associated privacy concerns, the research community has begun to develop cryptographic techniques for controlled (privacy-preserving) information sharing. One interesting open problem involves two mutually distrustful parties that need...

Text classification is a process where documents are categorized usually by topic, place, readability easiness, etc. For text classification by topic, a well-known method is Singular Value Decomposition. For text classification by readability, “Flesh Reading Ease index” calculates the readability easiness level of a document (e.g. easy, medium, advanced). In this paper, we propose Singular Valu...

Measuring similarity between nodes has been an issue of extensive research in the social network analysis literature. In this paper, we construct a new measure of similarity between nodes based on the game-theoretic interaction index (Grabisch and Roubens, 1997). Despite the fact that, in general, this index is computationally challenging, we show that in our network application it can be compu...

Palle E.T. Jorgensen and Steen Pedersen Abstra t. We describe a class of measurable subsets Ω in Rd such that L(Ω) has an orthogonal basis of frequencies eλ(x) = e (x ∈ Ω) indexed by λ ∈ Λ ⊂ Rd. We show that such spectral pairs (Ω,Λ) have a self-similarity which may be used to generate associated fractal measures μ (typically with Cantor set support). The Hilbert space L(μ) does not have a tota...