Pattern recognition

This volume directly addresses the complexities involved in data mining and the development of new algorithms, built on an underlying theory consisting of linear and non-linear dynamics, data selection, filtering, and analysis, while including analytical projection and prediction.

Computer processing and image analysis technologies have improved substantially over the course of the past decade.

Time-of-Flight Cameras and Microsoft Kinect(TM) closely examines the technology and general characteristics of time-of-flight range cameras, and outlines the best methods for maximizing the data captured by these devices.

Financial identity theft is well understood with clear underlying motives.

Reliable Knowledge Discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD.

Mobile Intention Recognition addresses problems of practical relevance for mobile system engineers: how can we make mobile assistance systems more intelligent?

Terahertz biomedical imaging has become an area of interest due to its ability to simultaneously acquire both image and spectral information.

Spatial trajectories have been bringing the unprecedented wealth to a variety of research communities.

Dialect Accent Features for Establishing Speaker Identity: A Case Study discusses the subject of forensic voice identification and speaker profiling.

Autonomous robot vehicles are vehicles capable of intelligent motion and action without requiring either a guide or teleoperator control.

Fundamentals algorithms for SIMD and MIMD hypercubes are developed.

Pattern recognition is a child of modern technology; electronics and computers in particular have inspired research and made it possible to develop the subject in a way which would have been impossible otherwise.

During the last twenty years the problem of pattern recognition (specifically, image recognition) has been studied intensively by many investigators, yet it is far from being solved.

Surface properties play a very important role in many perception tasks.

A fast and reasonably accurate perception of the environment is essential for successful navigation of an autonomous agent.

This monograph is an outgrowth of the authors' recent research on the de- velopment of algorithms for several low-level vision problems using artificial neural networks.

In this book a global shape model is developed and applied to the analysis of real pictures acquired with a visible light camera under varying conditions of optical degradation.

Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance.

The presentation and interpretation of visual information is essential to almost every activity in human life and most endeavors of modern technology.

Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed.

Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behaviorKey FeaturesUnderstand OpenCV and select the right algorithm to solve real-world problemsDiscover techniques for image and video processingLearn how to apply face recognition in videos to automatically extract key informationBook DescriptionComputer Vision (CV) has become an important aspect of AI technology.

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework.

The definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field.

This practically-focused text presents a hands-on guide to making biometric technology work in real-life scenarios.

This important text/reference presents the latest secure and privacy-compliant techniques in automatic human recognition.

The last decade has witnessed a rapid surge of interest in new sensing and monitoring devices for wellbeing and healthcare.

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research.

Vladimir Geroimenko and Chaomei Chen The Semantic Web is avision that has sparked a wide-ranging enthusiasm for a new generation of the Web.

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework.

Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between people and machines, and to automatically transcribe, extract, analyze, and route information from high-volume streams of spoken and written information.

Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers.

This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup.

This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics.

"e;This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures.

The new computing environment enabled by advances in service oriented arc- tectures, mashups, and cloud computing will consist of service spaces comprising data, applications, infrastructure resources distributed over the Web.

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science.

The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability.

Multi-Modal User Interactions in Controlled Environments investigates the capture and analysis of user's multimodal behavior (mainly eye gaze, eye fixation, eye blink and body movements) within a real controlled environment (controlled-supermarket, personal environment) in order to adapt the response of the computer/environment to the user.

The chapters in this volume were presented at the July-August 2008 NATO Advanced Study Institute on Unexploded Ordnance Detection and Mitigation.

David Stevens Space-based information, which includes earth observation data, is increasingly becoming an integral part of our lives.

The past decades have seen significant improvements in 3D imaging where the related techniques and technologies have advanced to a mature state.

Design of water control structures, reservoir management, economic evaluation of flood protection projects, land use planning and management, flood insurance assessment, and other projects rely on knowledge of magnitude and frequency of floods.

Currently, there is a considerable interest in integrating the results of information extraction in retrieval systems, because of the growing demand for search engines that return precise answers to flexible information queries.

The chapters in this volume were presented at the July 2005NATO Advanced Study Institute on Advances in Sensing with Security App- cations.

A unique probabilistic approach to studying pattern matching problems in computer science, telecommunications, molecular biology and more.

A unique probabilistic approach to studying pattern matching problems in computer science, telecommunications, molecular biology and more.

Self-contained and entertaining introduction to computational genomics, using a case-studies approach with Matlab demos.

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.