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....

Intelligent Video Surveillance Systems: An Algorithmic Approach

Maheshkumar H Kolekar
July 05, 2018

This book will provide an overview of techniques for visual monitoring including video surveillance and human activity understanding. It will present the basic techniques of processing video from static cameras, starting with object detection and tracking. The author will introduce further video...

Machine Learning and IoT: A Biological Perspective

Shampa Sen, Leonid Datta, Sayak Mitra
July 03, 2018

This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases....

The Beauty of Mathematics in Computer Science

Jun Wu
June 15, 2018

A series of essays introducing the applications of machine learning and statistics in natural language processing, speech recognition and web search for non-technical readers...

Artificial Intelligence: With an Introduction to Machine Learning, Second Edition

Richard E. Neapolitan, Xia Jiang
May 16, 2018

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility...

Sufficient Dimension Reduction: Methods and Applications with R

Bing Li
May 01, 2018

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of...

Artificial Intelligence and the Two Singularities

Calum Chace
April 26, 2018

The science of AI was born a little over 60 years ago, but for most of that time its achievements were modest. In 2012 it experienced a big bang, when a branch of statistics called Machine Learning (and a sub-branch called Deep Learning) was applied to it. Now machines have surpassed humans in...

Probabilistic Foundations of Statistical Network Analysis

Harry Crane
April 19, 2018

Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dynamic...

Spectral Feature Selection for Data Mining

Zheng Alan Zhao, Huan Liu
April 18, 2018

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified...

Feature Engineering for Machine Learning and Data Analytics

Guozhu Dong, Huan Liu
April 04, 2018

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the...

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 14, 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....

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