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The book contains essays in honor of Victor Raskin. The contributions are all directly related to some of the major areas of work in which Raskin's scholarship has spanned for decades. The obvious connecting idea is the encyclopedic script-based foundation of lexical meaning, which informs his pioneering work in semantics in the 1970s and 1980s. The first part of the book collects articles directly concerned with script-based semantics, which examine both the theoretical and methodological premises of the idea and its applications. Script-based semantics is the foundation of both Raskin's ground-breaking work in humor research (addressed by the articles in part 2) and in Ontological semantic...
"Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics. The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering. Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.
The 7th IEEE/ACIS Conference and the 2nd IEEE/ACIS Workshop on e-Activity (IWEA 2008) featured researchers from around the world. The conference organizers selected 23 outstanding papers for this volume of Springer’s Studies in Computational Intelligence.
This work is on biometric data indexing for large-scale identification systems with a focus on different biometrics data indexing methods. It provides state-of-the-art coverage including different biometric traits, together with the pros and cons for each. Discussion of different multimodal fusion strategies are also included.
"This book provides an in-depth description of existing and fresh fusion approaches for multimodal biometric systems, covering relevant topics affecting the security and intelligent industries"--Provided by publisher.
Courtesy Bangladesh Freedom Foundation.
本书介绍并深入探讨了多模态生物特征识别系统中经典和最新的融合方法,内容涵盖生物特征标识,生物特征图像处理,多模态生物特征识别系统,排序级融合,模糊融合,混沌神经网络与降维,智能软件安全系统中的机器人生物特征识别与化身识别,软生物特征识别与应用,社交生物特征识别与应用等主题.