in order to study of genetic diversity and similarity among four native olive cultivars including ‘mari’, ‘zard’, ‘shengeh’ and ‘rowghani’, these cultivars were evaluated in five regions including ali abad, gilvan, tarom, manjil and jamal abad at 2012-2013. there was a significant difference among studied individuals. the correlation coefficient analysis among studied traits showed that there w...

Breast density is a risk factor associated with the development of breast cancer. Usually, breast density is assessed on two dimensional (2D) mammograms using the American College of Radiology (ACR) classification. Magnetic resonance imaging (MRI) is a non-radiation based examination method, which offers a three dimensional (3D) alternative to classical 2D mammograms. We propose a new framework...

in this paper, an optimal algorithm is presented for de-noising of medical images. the presented algorithm is based on improved version of local pixels grouping and principal component analysis. in local pixels grouping algorithm, blocks matching based on l2 norm method is utilized, which leads to matching performance improvement. to evaluate the performance of our proposed algorithm, peak sign...

in order to study the genetic diversity among some male pistachio genotypes,16 male pistachio genotypes and 8 female pistachio cultivars were selected from iranian pistachio research institute (ipri). 12 rapd primers were used which totally produced 65 bands that among them 48 bands were polymorphic and 17 bands were monomorphic. cluster analysis based on similarity matrix and jaccard similarit...

Similarity-based clustering and classification of compounds enable the search of drug leads and the structural and chemogenomic studies for facilitating chemical, biomedical, agricultural, material and other industrial applications. A database that organizes compounds into similarity-based as well as scaffold-based and property-based families is useful for facilitating these tasks. CFam Chemica...

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...

We present larger-scale evidence overturning previous results, showing that among the many alternative phrasal lexical similarity measures based on word vectors, the Jaccard coefficient most increases the robustness of MEANT, the recently introduced, fully-automatic, state-of-the-art semantic MT evaluation metric. MEANT critically depends on phrasal lexical similarity scores in order to automat...

With the increasing influence of Business Process Management, large process model repositories emerged in enterprises and public administrations. Their effective utilization requires meaningful and efficient capabilities to search for models that go beyond text based search or folder navigation, e.g., by similarity. Existing measures for process model similarity are often not applicable for eff...