SUMMARY The quality of seismic-to-well tie is commonly quantified using the classical Pearson's correlation coefficient. However the seismic wavelet is time-variant, well logging and upscaling is only approximate, and the correlation coefficient does not follow this nonlinear behavior. We introduce the Dynamic Time Warping (DTW) to automate the tying process, accounting for frequency and time v...

The quality of seismic-to-well tie is commonly quantified using the classical Pearson’s correlation coefficient. However the seismic wavelet is time-variant, well logging and upscaling is only approximate, and the correlation coefficient does not follow this nonlinear behavior. We introduce the Dynamic Time Warping (DTW) to automate the tying process, accounting for frequency and time variance....

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...

Abstract –Information filtering systems have a vital role in exploiting the flurry of information that keeps on growing exponentially. This study focuses on improving the performance of genetic algorithms based information filtering. In GA, the fitness function is the performance measure for relevance judgement. Being the backbone of the evaluation process the selection of fitness function is v...

When encryption and authentication techniques are applied to image or video data, sometimes it is advantageous to limit the operation to the DC DCT coefficient of each 8× 8 block in a picture. In this work, the performance of such an approach is evaluated. This problem is considered as an image quality problem, and the metric structural similarity is used to show that by authenticating the DC c...

A character-based measure of similarity is an important component of many natural language processing systems, including approaches to transliteration, coreference, word alignment, spelling correction, and the identification of cognates in related vocabularies. We propose an alignment-based discriminative framework for string similarity. We gather features from substring pairs consistent with a...

This paper describes three unsupervised systems for determining the semantic similarity between two short texts or sentences submitted to the SemEval 2016 Task 1, all of which make use of only off-the-shelf software and data making them easy to replicate. Two systems achieved a similar Pearson correlation coefficient (0.64661 by simple vector, 0.65319 by word alignments). We include experiments...

This paper introduces a Czech dataset for semantic similarity and semantic relatedness. The dataset contains word pairs with hand annotated scores that indicate the semantic similarity and semantic relatedness of the words. The dataset contains 953 word pairs compiled from 9 different sources. It contains words and their contexts taken from real text corpora including extra examples when the wo...

Chinese word similarity computing is a fundamental task for natural language processing. This paper presents a method to calculate the similarity between Chinese words based on combination strategy. We apply Baidubaike to train Word2Vector model, and then integrate different methods, Dictionarybased method, Word2Vector-based method and Chinese FrameNet (CFN)based method, to calculate the semant...

We investigate a new registration method for ultrasound volumes relying on on a statistical texture-based similarity measure. Texture information is given by spatial Gabor filters and represented by statistical kernel-based distributions. The registration similarity measure is then defined as a probabilistic distance, derived from Bhattacharyya coefficient, between two statistical distributions...