Ramakrishnan S. (ed.) Pattern Recognition: Analysis and Applications

New York: lTexLi, 2016. — 130 p.This volume is dedicated to pattern recognition analysis and pattern recognition applications. This book will be useful for graduate students, researchers, and practicing engineers working in the field of machine vision and computer science and engineering.
Pattern recognition continued to be one of the important research fields in computer science and electrical engineering. Lots of new applications are emerging, and hence pattern analysis and synthesis become significant subfields in pattern recognition.Motif Discovery in Protein Sequences
Hybrid Metaheuristics for Classification Problems
Method of Synthesized Phase Objects in the Optical Pattern Recognition Problem
Automated Face Recognition: Challenges and Solutions
Histogram-Based Texture Characterization and Classification of Brain Tissues in Non-Contrast CT Images of Stroke Patients
Data-Driven Methodologies for Structural Damage Detection Based on Machine Learning Applications