We present a framework for investigating properties of similarity measures as a criterion for selecting the best-suited measure for a specific task, in this paper: corpus selection for self-training. We focus on the squared Pearson’s correlation coefficient as the property to rank similarity measures. Selftraining is an unsupervised domain adaptation technique, in which three corpora are involv...

Most current gene coexpression databases support the analysis for linear correlation of gene pairs, but not nonlinear correlation of them, which hinders precisely evaluating the gene-gene coexpression strengths. Here, we report a new database, MIrExpress, which takes advantage of the information theory, as well as the Pearson linear correlation method, to measure the linear correlation, nonline...

There are a number of ways to reproduce an image, for an example gamut mapping, halftoning and compression. To find the best reproduction among a number of variants of the same reproduction algorithm, a psychophysical experiment can be carried out. Image difference metrics have been introduced to eliminate these experiments. To do this the metrics must reflect the perceived image difference. On...

Differential power analysis (DPA) is a strong attack upon cryptographic devices such as smartcards. Correlation power analysis (CPA) is a specific form of DPA where the Hamming-weight and the correlation coefficient are employed. In this paper we investigate the intrinsic vulnerability of the individual operations that are targeted in DPA attacks. We find that under the typical circumstances, t...

Abstract—Magnetic Resonance Imaging (MRI) is one of the most important medical imaging modality. Subjective assessment of the image quality is regarded as the gold standard to evaluate MR images. In this study, a database of 210 MR images which contains ten reference images and 200 distorted images is presented. The reference images were distorted with four types of distortions: Rician Noise, G...

This paper presents the design, optimization and fabrication of 16 MgO/TiO2 and SiO2/TiO2 based high selective narrow bandpass optical filters. Their performance to extract diffuse reflectance and fluorescence signals from gastrointestinal tissue phantoms was successfully evaluated. The obtained results prove their feasibility to correctly extract those spectroscopic signals, through a Spearman...

Identification of health issues in children with autism spectrum disorder (ASD) is paramount to provide appropriate care and interventions. The Autism Treatment Evaluation Checklist (ATEC) is the one of the few current measures that assesses ASD-associated health problems thus informing intervention decisions. However, little research has been conducted to compare ATEC with other more recognize...

The Pearson correlation coefficient (PCC) and the Mander's overlap coefficient (MOC) are used to quantify the degree of colocalization between fluorophores. The MOC was introduced to overcome perceived problems with the PCC. The two coefficients are mathematically similar, differing in the use of either the absolute intensities (MOC) or of the deviation from the mean (PCC). A range of correlate...