Thirty-one varieties of wheat cultivated in Romania were analyzed regarding the genetic diversity and physicochemical properties, including following determinations: moisture, ash, protein, wet gluten, lipid, starch content, falling number damaged starch, considering particularity each species, its biological status origin. The data showed that samples presented large variability. properties fl...

In this work, we filter weakly expressed genes using the HTSFilter Bioconductor package, which implements a databased filtering procedure based on the calculation of a global Jaccard similarity index among biological replicates for read counts arising from replicated transcriptome sequencing (RNA-seq) data; see Rau et al. (2013) and the HTSFilter vignette for additional details. This technique ...

Tanimoto, or extended Jaccard, is an important similarity measure which has seen prominent use in fields such as data mining and chemoinformatics. Many of the existing state-of-the-art methods for market basket analysis, plagiarism and anomaly detection, compound database search, and ligand-based virtual screening rely heavily on identifying Tanimoto nearest neighbors. Given the rapidly increas...

The Jaccard index is an important similarity measure for item sets and Boolean data. On large datasets, an exact similarity computation is often infeasible for all item pairs both due to time and space constraints, giving rise to faster approximate methods. The algorithm of choice used to quickly compute the Jaccard index |A∩B| |A∪B| of two item sets A and B is usually a form of min-hashing. Mo...

In many industrial applications of big data, the Jaccard Similarity Computation has been widely used to measure the distance between two profiles or sets respectively owned by two users. Yet, one semi-honest user with unpredictable knowledge may also deduce the private or sensitive information (e.g., the existence of a single element in the original sets) of the other user via the shared simila...

Leaf based plant species recognition plays an important role in ecological protection, however its application to large and modern leaf databases has been a long-standing obstacle due to the computational cost and feasibility. Recognizing such limitations, we propose a Jaccard distance based sparse representation (JDSR) method which adopts a two-stage, coarse to fine strategy for plant species ...

The high incidence rate of prostate disease poses a need in early detection for diagnosis. As one of the main imaging methods used for prostate cancer detection, magnetic resonance imaging (MRI) has wide range in appearance and imbalance problems, making automated prostate segmentation fundamental but challenging we here propose a novel Densely Dilated Spatial Pooling ConNets (DDSP) in encoder-...

Submission Deadline: May 1, 2002 (include a short CV when submitting your abstract) Anyone interested in organizing a session should propose topics, motivations, and possible speakers to: Mark Jaccard – (p) 604-291-4219 / (f) 604-291-5473 / (e) [email protected] Abstracts for papers should be 200 words or less. At least one author from an accepted paper must pay the registration fees and attend th...

A refined single-valued/interval neutrosophic set is very suitable for the expression and application of decision-making problems with both attributes and sub-attributes since it is described by its refined truth, indeterminacy, and falsity degrees. However, existing refined single-valued/interval neutrosophic similarity measures and their decision-making methods are scarcely studied in existin...

We study Ollivier-Ricci curvature, a discrete version of Ricci curvature, which has gained popularity over the past several years and has found applications in diverse fields. However, the Ollivier-Ricci curvature requires an optimal mass transport problem to be solved, which can be computationally expensive for large networks. In view of this, we propose two alternative measures of curvature t...