Pattern recognition

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.

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.

This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques.

This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios.

This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing.

The book covers a comprehensive overview of the theory, methods, applications and tools of cognition and recognition.

This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis.

This book describes the latest advances in pulse signal analysis and their applications in classification and diagnosis.

This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images.

The book is a collection of peer-reviewed scientific papers submitted by active researchers in the International Conference on Industry Interactive Innovation in Science, Engineering and Technology (I3SET 2016).

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.

This is the first book offering a systematic description of tongue image analysis and processing technologies and their typical applications in computerized tongue diagnostic (CTD) systems.

This monograph describes the latest advances in discriminative learning methods for biometric recognition.

This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis.

Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings.

The reasons for writing this book are very simple.

The book is organized so as to address in separate sections first the preparatory topics of medicine (clinical and epidemiological), science in general, and statistics (mathematical); then topics of epidemiological research proper; and, finally, topics of 'meta-epidemiological' clinical research.

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.

This small book addresses different kinds of datafiles, as commonly encountered in clinical research, and their data-analysis on SPSS Software.

One of the key milestones of radar remote sensing for civil applications was the launch of the European Remote Sensing Satellite 1 (ERS 1) in 1991.

This book presents a comprehensive exploration of structural pattern recognition with a clear understanding of graph representation and manipulation.

The book presents a coherent understanding of computational intelligence from the perspective of what is known as "e;intelligent computing"e; with high-dimensional parameters.

The book presents three most significant areas in Biometrics and Pattern Recognition.