Detecting defects in industrial products is one of the most widespread applications of
industrial automation. Various product defects, large similarities, and drastic changes in …

Graph construction from data constitutes a pre-stage in many machine learning and
computer vision tasks, like semi-supervised learning, manifold learning, and spectral …

For dependent population, falls accident are a serious health issue, particularly in a situation
of pandemic saturation of health structures. It is, therefore, highly desirable to quarantine …

For the elderly population, falls are a vital health problem especially in the current context of
home care for COVID-19 patients. Given the saturation of health structures, patients are …

In this paper, we propose a dynamic graph construction technique that inserts new samples
into a previously constructed graph, which reduces the computational time and complexity of …

A graph which represents the similarity between samples plays an important role in graph-
based semi-supervised learning. Though for this case one of the most important keys is the …

Anonymization innovation is basic for accomplishing assurance on security when utilizing
individual data. In the time of bigdata a lot of data has been aggregated by different data …

This thesis proposes three new descriptors developed to the same end of taking advantage
of statistical information extracted from the image gradient to improve the description of the …

Recently, we introduced a robust and adaptive method for constructing sparse graphs. This
method was termed Two Phase Weighted Regularized Least Square (TPWRLS)[6]. In this …