We outline a method for measuring in an efficient way an overall degree of similarity between different leaf-labelled trees. In particular, we consider rooted trees, either unordered or ordered and not necessarily carrying the same labels. The trees to be compared are first represented in the form of matrices whose entries are in the interval [O,1] and the actual comparison strategy then relies...

BACKGROUND Existing methods for calculating semantic similarity between gene products using the Gene Ontology (GO) often rely on external resources, which are not part of the ontology. Consequently, changes in these external resources like biased term distribution caused by shifting of hot research topics, will affect the calculation of semantic similarity. One way to avoid this problem is to u...

Spinach (Spinacia oleracea L.) is an economically important leafy vegetable crop in many countries. This is the first case study of using SRAP markers to analyze genetic diversity of Iranian spinach accessions. Eight SRAP primer combinations generated 88 scorable bands ranging from 50 to 1000 bp, among which 73 were polymorphic, with an average of 82.9 polymorphic bands per primer combination a...

The current work presents a study concerning similarity networks for a well defined and used dataset of proteins, constructed using sequence and structural derived similarity criteria. The analysis is made on the initial set of proteins and the subsets of proteins that yield to fully connected networks using both similarity criteria. Several parameters describing the networks are reported, wher...

Understanding genetic structure and status of genetic variation of Fasciola hepatica isolates from different hosts, has important implications on epidemiology and effective control of fasciolosis. Random amplified polymorphic DNA (RAPD-PCR) was used to study the genetic variation of F. hepatica in sheep and cattle. DNA was extracted from adult helminthes removed from livers of each infected ani...

Collaborative Filtering(CF) is a widely accepted method of creating recommender systems. CF is based on the similarities among users or items. Measures of similarity including the Pearson Correlation Coefficient and the Cosine Similarity work quite well for explicit ratings, but do not capture real similarity from the ratings derived from implicit feedback. This paper identifies some problems t...

Calculating the semantic similarity between sentences is a long dealt problem in the area of natural language processing. The semantic analysis field has a crucial role to play in the research related to the text analytics. The semantic similarity differs as the domain of operation differs. In this paper, we present a methodology which deals with this issue by incorporating semantic similarity ...

Recently a “Bag-of-Audio-Words” approach was proposed [1] for the combination of lexical features with audio clips in a multimodal semantic representation, i.e., an Audio Distributional Semantic Model (ADSM). An important step towards the creation of ADSMs is the estimation of the semantic distance between clips in the acoustic space, which is especially challenging given the diversity of audio...

This paper presents a no-reference image quality assessment metric that makes use of the wavelet subband statistics to evaluate the levels of distortions of wavelet-compressed images. The work is based on the fact that for distorted images the correlation coefficients of the adjacent scale subbands change proportionally with respect to the distortion of a compressed image. Subband similarity is...

Collaborative filtering, a widely-used user-centric recommendation technique, predicts an item’s rating by aggregating its ratings from similar users. User similarity is usually calculated by cosine similarity or Pearson correlation coefficient. However, both of them consider only the direction of rating vectors, and suffer from a range of drawbacks. To solve these issues, we propose a novel Ba...