Pattern Recognition: Analysis and Applications

✍ Scribed by S. Ramakrishnan

Publisher: ExLi4EvA
Year: 2016
Tongue: English
Leaves: 130
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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. This book is an edited volume and has six chapters arranged into two sections, namely, 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.

✦ Table of Contents

Preface
Contents
Chapter 1 Motif Discovery in Protein Sequences
by Salma Aouled El Haj Mohamed, Mourad Elloumi and Julie D.
Thompson
Chapter 2 Hybrid Metaheuristics for Classification Problems
by Nadia Abd-Alsabour
Chapter 3 Method of Synthesized Phase Objects in the Optical
Pattern Recognition Problem
by Pavel V. Yezhov, Alexander P. Ostroukh, Jin-Tae Kim and
Alexander V. Kuzmenko
Chapter 4 Automated Face Recognition: Challenges and
Solutions
by Joanna Isabelle Olszewska
Chapter 5 Histogram-Based Texture Characterization and
Classification of Brain Tissues in Non-Contrast CT Images of Stroke
Patients
by Kenneth K. Agwu and Christopher C. Ohagwu
Chapter 6 Data-Driven Methodologies for Structural Damage
Detection Based on Machine Learning Applications
by Jaime Vitola, Maribel Anaya Vejar, Diego Alexander Tibaduiza
Burgos and Francesc Pozo

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