Pattern recognition

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.

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.

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.

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.

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.

This book presents a comprehensive coverage of video transition analysis and detection, which is a critical technology in video indexing embodied in the recent MPEG-7 standard, defining the description interface for multimedia content.

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology.

This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks,  cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches.

This book focuses on end-to-end robotic applications using vision and control algorithms, exposing its readers to design innovative solutions towards sensors-guided robotic bin-picking and assembly in an unstructured environment.

Deep Learning models are at the core of artificial intelligence research today.

This book discusses recent advances in wearable technologies and personal monitoring devices, covering topics such as skin contact-based wearables (electrodes), non-contact wearables, the Internet of things (IoT), and signal processing for wearable devices.

This book discusses different types of distance functions defined in an n-D integral space for their usefulness in approximating the Euclidean metric.

Fingerprints are among the most widely used biometric modalities and have been successfully applied in various scenarios.

This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition.

This book gathers selected papers presented at the International Conference on Advancements in Computing and Management (ICACM 2019).

This book is about recent research in the area of profiling humans from their voice, which seeks to deduce and describe the speaker's entire persona and their surroundings from voice alone.

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning.

This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics.

This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing.

The book focuses on one of the key issues in document image processing - graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition.

This book presents the key technology of electronic noses, and systematically describes how e-noses can be used to automatically analyse odours.

This book presents the state of the art in online visual tracking, including the motivations, practical algorithms, and experimental evaluations.

Written by world-renowned authors, this unique compendium presents the most updated progress in pattern recognition and computer vision (PRCV), fully reflecting the strong international research interests in the artificial intelligence arena.

In recent years, libraries and archives all around the world have increased their efforts to digitize historical manuscripts.

This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications.

This book presents state-of-the-art methodologies and a comprehensive introduction to the recognition and representation of species and individual animals based on their physiological and phenotypic appearances, biometric characteristics, and morphological image patterns.

This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions.

Discover core topics in inference and learning with the first volume of this extraordinary three-volume set.

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR).

This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail.