Pattern recognition

Interactive curve modeling techniques and their applications are extremely useful inanumber ofacademicandindustrialsettings.

Biometrics technology continues to stride forward with its wider acceptance and its perceived need in various new security facets of modern society.

Self-organization is a multi-faceted phenomenon, present in many fields, operating at multiple scales, and performs diverse roles.

Noisy data appear very naturally in applications where the authentication is based on physical identifiers.

Conventional model-based data processing methods are computationally expensive and require experts' knowledge for the modelling of a system.

The Semantic Web is a vision that has sparked a wide-ranging enthusiasm for a new generation of the Web.

The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?

This work summarizes the theoretical and algorithmic basis of optimized pr- abilistic advising.

I was shocked to see a student's report on performance comparisons between support vector machines (SVMs) and fuzzy classi?

This book is the outcome of a decade's research into a speci?

Correcting the Great Mistake People often mistake one thing for another.

Recently, there has been a dramatic increase in the use of sensors in the non-visible bands.

The use of computers to recognize humans from physical and behavioral traits dates back to the digital computer evolution of the 1960s.

Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily lives.

The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022.

This book constitutes the refereed proceedings of CVM 2024, the 12th International Conference on Computational Visual Media, held in Wellington, New Zealand, in April 2024.

This book constitutes the revised selected papers from the 30th International Workshop on Frontiers of Computer Vision, IW-FCV 2024, held in Tokyo, Japan, in February 19-21, 2024.

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.