Pattern recognition

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.

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.

This book discusses all critical privacy and data protection aspects of biometric systems from a legal perspective.

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 volume comprises the proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing.

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.

Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression.

The book presents research work on face recognition using edge information as features for face recognition with ICA algorithms.

ICMCCA 2012 is the first International Conference on Multimedia Processing, Communication and Computing Applications and the theme of the Conference is chosen as 'Multimedia Processing and its Applications'.

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation.

Markov random field (MRF) modeling provides a basis for the characterization of contextual constraints on visual interpretation and enables us to develop optimal vision algorithms systematically based on sound principles.

In this book, the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms are set out.

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2-3, 2023.

2029: año en el que la inteligencia artificial no podrá distinguirse de la humana.

Der Wettlauf um das Gehirn hat begonnen.

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2-3, 2023.

Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller.

Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever since have been a center of many discussions, fervently admired and condemned.

The Radial Basis Function (RBF) network has gained in popularity in recent years.

This book contains an edited collection of eighteen contributions on soft and hard computing techniques and their applications to autonomous robotic systems.

Bildverstehen, Bilder und die ihnen zugrundeliegenden Szenen mit den darin vorkommenden Objekten verstehen und beschreiben, das bedeutet aus der Sicht der Informatik: Sehen mit dem Computer - ‘Computer Vision’.

Die Erforschung des Gehirns und seiner kognitiven Fähigkeiten war schon immer ein Anliegen der Menschheit.

Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes.

Computer vision solutions used to be very specific and difficult to adapt to different or even unforeseen situations.

Computer Vision is a rapidly growing field of research investigating computational and algorithmic issues associated with image acquisition, processing, and understanding.

Graph-based representation of images is becoming a popular tool since it represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts.

The work described in this publication was initiated at the General Electric Company's Electronics Laboratory, Syracuse, N.

In recent years it has become apparent that an important part of the theory of Artificial Intelligence is concerned with reasoning on the basis of uncertain, incomplete or inconsistent information.