Pattern recognition

More than ten years have passed since the untimely death of King-Sun Fu, one of the great pioneers in the field of pattern recognition.

This book provides an overview of the state of the art in research and development of systems for document image analysis.

This book contains a selection of papers presented at the Fourth International Workshop on Parallel Image Analysis, held at the Laboratoire de l'Informatique du Parallelisme of the Ecole Normale Superieure de Lyon, France.

This book is a comprehensive treatise on the theory and applications of moment functions in image analysis.

Advances in Handwriting Recognition contains selected key papers from the 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR '98), held in Taejon, Korea from 12 to 14, August 1998.

In recent years, rapid progress has been made in computer processing of oriental languages, and the research developments in this area have resulted in tremendous changes in handwriting processing, printed oriental character recognition, document analysis and recognition, automatic input methodologies for oriental languages, etc.

Half a billion years of evolution have turned the eye into an unbelievable pattern detector.

This is not a purely mathematical book.

RAM-based networks are a class of methods for building pattern recognition systems.

This book contains selected papers presented at Vision Interface '98, held in Vancouver, Canada, in June 1998.

This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to related work.

The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago.

Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification.

Hidden Markov models (HMMs) originally emerged in the domain of speech recognition.

The use of pattern recognition has become more and more important in seismic oil exploration.

This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications.

Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition.

This is the first book to deal with automatic diatom identification.

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the next few years.

This volume provides a collection of sixteen articles containing review and new material.

This volume contains papers describing state-of-the-art technology for advanced multimedia systems.

This volume emphasizes the primary role played by images in computer science.

Watermarking techniques involve the concealment of information within a text or images and the transmission of this information to the receiver with minimum distortion.

This book addresses the range image registration problem for automatic 3D model construction.

Wavelet analysis and its applications have been one of the fastest-growing research areas in the past several years.

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years.

Wavelet analysis and its applications have been one of the fastest growing research areas in the past several years.

This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models.

In graph-based structural pattern recognition, the idea is to transform patterns into graphs and perform the analysis and recognition of patterns in the graph domain - commonly referred to as graph matching.

Wavelet analysis has gained recognition as a useful tool for analyzing time-frequency, and is playing an important role in signal and information processing.

This volume contains the latest in the series of ICAPR proceedings on the state-of-the-art of different facets of pattern recognition.

The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification.

Wavelet analysis and its applications have become one of the fastest growing research areas in the past several years.

This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research.

The book deals with several key aspects of developing technologies in information processing systems.

Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies.

The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern Recognition published in 2000.

Biometrics is the study of methods for uniquely recognizing humans based on one or more intrinsic physical or behavioral traits.

This review volume provides from both theoretical and application points of views, recent developments and state-of-the-art reviews in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.

This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs.

This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision.

This book presents an interactive multimodal approach for efficient transcription of handwritten text images.

While voice is widely used in speech recognition and speaker identification, its application in biomedical fields is much less common.

This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till 2018.

What features or information can we observe from a face, and how can these information help us to understand the person concerned, in terms of their well-being and what can we learn about and from each given feature?

On August 20, 2015, a symposium at Lawrence Livermore National Laboratory was held in honor of Berni J.

Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.

The book is a collection of invited chapters by experts in Chinese document and text processing, and is part of a series on Language Processing, Pattern Recognition, and Intelligent Systems.