Zhengbing Hu

This book presents experimental investigations and digital image processing, highlighting the interaction of polarized radiation with phase-inhomogeneous and optically anisotropic biological layers. The promising and efficient use of vector-parametric description of the formation of polarization-inhomogeneous object fields is noted. Applications of a set of Mueller-matrix polarimetry methods are highlighted. The book includes- structural and logical scheme of multi-parameter (singular, interference and layer-by-layer Stokes-polarimetric), polarization-correlation study of the structure of distributions of the number of singularities, maps of local contrast of interference distributions and layer-by-layer maps of microscopic polarization azimuth and ellipticity; determination of relationships between changes in the magnitude of statistical parameters characterizing polarization-correlation distributions and pathology of prostate tumors.

In today’s data-driven world, more sophisticated algorithms for data processing are in high demand, mainly when the data cannot be handled with the help of traditional techniques. Self-learning and adaptive algorithms are now widely used by such leading giants that as Google, Tesla, Microsoft, and Facebook in their projects and applications. In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear. Including research relevant to those studying cybernetics, applied mathematics, statistics, engineering, and bioinformatics who are working in the areas of machine learning, artificial intelligence, complex system modeling and analysis, neural networks, and optimization, this is an ideal read for anyone interested in learning more about the fascinating new developments in machine learning.