Pattern recognition

Image classification is a critical component in computer vision tasks and has numerous applications.

The book explores the complete system perspective, underlying theories, modelling, and the applications of pattern recognition in Healthcare Recommender System.

The book explores the complete system perspective, underlying theories, modelling, and the applications of pattern recognition in Healthcare Recommender System.

This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications.

This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world.

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning.

This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective.

This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision.

How do we design a self-organizing system?

This edited collection will provide an overview of the field of physiological computing, i.

This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search.

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods.

This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning.

This book addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain.

Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems and in deriving countermeasures to these attacks.

Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data.

This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a new, general-purpose forest model.

This book surveys the state of the art in multidimensional, physically-correct visual texture modeling.

Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers.

This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding.

The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications.

This comprehensive text/reference examines in depth the synergy between multimedia content analysis, personalization, and next-generation networking.

Research into the methods and techniques used in simulating crowds has developed extensively within the last few years, particularly in the areas of video games and film.

This text provides a survey of the latest research into the Hough transform for line detection and its contemporary developments.

This authoritative collection introduces the reader to the state of the art in iris recognition technology.

Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management.

This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field.

This Guide to OCR for Arabic Scripts is the first book of its kind, specifically devoted to this emerging field.

Automatie object recognition is a multidisciplinary research area using con- cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines.

Principles of Visual Information Retrieval introduces the basic concepts and techniques in VIR and develops a foundation that can be used for further research and study.

Entropy Guided Transformation Learning: Algorithms and Applications (ETL) presents a machine learning algorithm for classification tasks.

This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience.

Shape detection techniques are an important aspect of computer vision and are used to transform raw image data into the symbolic representations needed for object recognition and location.

This book presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods.

This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control.

This unique text/reference reviews algorithms for the exact or approximate solution of shortest-path problems, with a specific focus on a class of algorithms called rubberband algorithms.

Since their first inception, automatic reading systems have evolved substantially, yet the recognition of handwriting remains an open research problem due to its substantial variation in appearance.

From its early beginnings in the fifties and sixties the field of neural networks has been steadily growing.

This book contains the proceedings of the International Confer- ence on Artificial Neural Networks which was held between September 13 and 16 in Amsterdam.

Neural networks is a field of research which has enjoyed rapid expansion in both the academic and industrial research communities.

This book contains the 61 papers that were accepted for presenta- tion at the 1992 British Machine Vision Conference.

In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control.

This volume contains the papers from the first British Neural Network Society meeting held at Queen Elizabeth Hall, King's College, London on 18--20 April 1990.

Progress in Gestural Interaction contains papers presented at the first Gesture Workshop, which was designed to bring together researchers working on gesture-based interfaces and gestural interaction and to provide a forum for the presentation and exchange of ideas and research currently in progress.

From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science.

Conventional applications of neural networks usually predict a single value as a function of given inputs.

International Conference on Advances in Pattern Recognition (ICAPR 98) at Plymouth represents an important meeting for advanced research in pattern recognition.

The conception of fresh ideas and the development of new techniques for Blind Source Separation and Independent Component Analysis have been rapid in recent years.