Computer Science & Engineering

Machine Learning and Pattern Recognition

Per Page:

Introduction to Machine Learning with Applications in Information Security


Mark Stamp
September 7, 2017

Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn’t prove theorems, or otherwise dwell on mathematical theory....

The Nano Age of Digital Immunity Infrastructure Fundamentals and Applications: The Intelligent Cyber Shield for Smart Cities

Rocky Termanini
March 15, 2018

Present anti-virus technologies do not have the symmetrical weaponry to defeat massive DDoS attacks on smart cities. Smart cities require a new set of holistic and AI-centric cognitive technology, such as autonomic components that replicate the human immune system, and a smart grid that connects...

Deep Learning in Biometrics

Mayank Vatsa, Richa Singh, Angshul Majumdar
March 12, 2018

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This...

Image Processing and Pattern Recognition Based on Parallel Shift Technology

Stepan Bilan, Sergey Yuzhakov
February 09, 2018

This book describes the methods and algorithms for image pre-processing and recognition. These methods are based on a parallel shift technology of the imaging copy, as well as simple mathematical operations to allow the generation of a minimum set of features to describe and recognize the image....

Chain Event Graphs

Rodrigo A. Collazo, Christiane Goergen, Jim Q. Smith
February 06, 2018

   Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques. The book extends established technologies used in the study of...

Brain–Computer Interfaces Handbook: Technological and Theoretical Advances

Chang S. Nam, Anton Nijholt, Fabien Lotte
January 24, 2018

This handbook is a valuable resource to anyone involved with improvement of people's lives by replacing, restoring, supplementing and improving motor action, and understanding the neural bases of such functions. While there are several other resources available, there is no handbook such as this...

Anti-Spam Techniques Based on Artificial Immune System

Ying Tan
November 01, 2017

Email has become an indispensable communication tool in daily life. However, high volumes of spam waste resources, interfere with productivity, and present severe threats to computer system security and personal privacy. This book introduces research on anti-spam techniques based on the artificial...

Evolutionary Multi-Objective System Design: Theory and Applications

Nadia Nedjah, Luiza De Macedo Mourelle, Heitor Silverio Lopes
October 19, 2017

Real-world engineering problems often require concurrent optimization of several design objectives, which are conflicting in cases. This type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary methodologies to...

Frontiers in Data Science

Matthias Dehmer, Frank Emmert-Streib
October 09, 2017

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation...

Rough Fuzzy Image Analysis: Foundations and Methodologies

Sankar K. Pal, James F. Peters
October 06, 2017

Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image...

Deterministic Learning Theory for Identification, Recognition, and Control

Cong Wang, David J. Hill
October 06, 2017

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and...

Video Cataloguing: Structure Parsing and Content Extraction

Guangyu Gao, Chi Harold Liu
October 01, 2017

The arrival of the digital age has created the need to be able to store, manage, and digitally use an ever-increasing amount of video and audio material. Thus, video cataloguing has emerged as a requirement of the times. Video Cataloguing: Structure Parsing and Content Extraction explains how to...

Handbook of 3D Machine Vision: Optical Metrology and Imaging

Song Zhang
September 25, 2017

With the ongoing release of 3D movies and the emergence of 3D TVs, 3D imaging technologies have penetrated our daily lives. Yet choosing from the numerous 3D vision methods available can be frustrating for scientists and engineers, especially without a comprehensive resource to consult. Filling...