Computer Science & Engineering

Machine Learning and Pattern Recognition

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Introduction to Machine Learning with Applications in Information Security

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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....

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...

A Systematic Approach to Learning Robot Programming with ROS

Wyatt Newman
October 04, 2017

A Systematic Approach to Learning Robot Programming with ROS provides a comprehensive, introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation. The book explores the organization of ROS, how to understand...

Online Portfolio Selection: Principles and Algorithms

Bin Li, Steven Chu Hong Hoi
October 01, 2017

With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles 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...

Modern Directional Statistics

Christophe Ley, Thomas Verdebout
September 15, 2017

Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the...

Introduction to Machine Learning with Applications in Information Security

Mark Stamp
September 07, 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....

Convolutional Neural Networks in Visual Computing: A Concise Guide

Ragav Venkatesan, Baoxin Li
September 07, 2017

This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and...

Social Networks with Rich Edge Semantics

Quan Zheng, David Skillicorn
August 18, 2017

Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and...

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