Similarity/dissimilarity index between two functionsAlice ParodiMirco PatriarcaLaura SangalliPiercesare SecchiSimone VantiniValeria Vitelli
Those results prove the dissimilarity of both original and encrypted images. Accordingly, no relevant information in the ciphered image could be identified to retrieve the plain original image. Table 8. NC result for different encrypted images. ImageNC RedGreenBlue Lena −0.0041 −0.0002 −...
Most applications employ a distance functionδto compute the dissimilarity between a pair of feature vectors. The resulting distance represents how much the compared feature vectors are dissimilar from each other. The larger the distance, the more dissimilar the compared data are, and the closer to...
that are relevant for MR image synthesis and of which some have not been assessed with the selected metrics before. Furthermore, we investigate the influence of five normalization methods before metric assessment. After analyzing metric sensitivity...
1.Evolutionary Optimization Schemes and Applications Based on the Similitude of Individuals;基于个体间相似性的演化优化方法及应用研究 2.in the bay were analyzed by nutrient status index, diversity index and similitude index in this paper.根据杭州湾水质监测及浮游植物的调查资料 ,应用营养状态指数、生物多...
The cosine similarity index ranges from 1.0 (perfect similarity) to -1.0 (perfect dissimilarity) and is reported in the SIMINDEX (Cosine Similarity) field. You would use this similarity method to find places that have the same characteristics but perhaps at a larger or smaller scale. Best pract...
Bias Fieldhas a moderate effect on most metrics. MS-SSIM is much more sensitive to simulated bias field artifacts than simple SSIM or CW-SSIM. The error metrics show clearly increased (dissimilarity) scores, while the LPIPS score is hardly effected. Compared to other distortions, PCC drops noti...
The statistical work carried out is an attempt to answer the questerion: to what extent do countries' styles of innovation differ and how often do similarities arise? The issue of similarity/dissimilarity of countries' styles of innovation is investigated in the last 100 years for a group of ...
information about the internal structure of the datasets. Vukicevic et al. [48] introduce meta-features based on internal CVIs (cluster validity indices). Pimentel and de Carvalho [1] proposed new meta-features based on correlation and dissimilarity measures. Gabbay et al. [3] propose two new...
Jaccard similarity (Jaccard index) and Jaccard distance are widely used as a statistic for similarity and dissimilarity measurement. Its applications inpractical statisticsrange from simple set similarities, all the way up to complex text files similarities. ...