Autor: Rama Chellappa

Soporte
Nalini K. Ratha is Empire Innovation professor in the Department of Computer Science and Engineering at University at Buffalo (New York). Before joining UB, he was Research Staff Member at IBM T. J. Watson Research Center, Yorktown Heights, NY. He received his Ph.D. in Computer Science from Michigan State University, East Lansing, MI, B. Tech. in Electrical Engineering, and M. Tech. in Computer Science and Engineering from Indian Institute of Technology, Kanpur. Nalini is Fellow of IEEE and IAPR. He received the Biometrics Council Leadership Award in 2019 and served as the President of the IEEE Biometrics Council in 2011–2012. At IBM Research, he was designated as IBM Research Master Inventor in 2018 and received two IBM Research Division awards, an IBM Outstanding Technical Achievement Award, and an IBM Outstanding Innovation Award. He has served as Associate Editor for IEEE Trans. on PAMI, IEEE Trans. on SMC-B, IEEE Trans. on Image Processing and Journal of Pattern Recognition. He is co-author  and co-editor, respectively, of the Springer books, Guide to Biometrics and Advances in Biometrics, and co-edited several other books. He has served as General and Program Co-Chair for many biometrics and AI-related conferences and workshops. Vishal M. Patel is Assistant Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University (JHU).  Prior to joining Hopkins, he was A. Walter Tyson Assistant Professor in the Department of ECE at Rutgers University and Member of the research faculty at the University of Maryland Institute for Advanced Computer Studies (UMIACS). He completed his Ph.D. in Electrical Engineering from the University of Maryland, College Park, MD, in 2010.  He has received a number of awards including the 2016 ONR Young Investigator Award, the 2016 Jimmy Lin Award for Invention, A. Walter Tyson Assistant Professorship Award, Best Paper Award at IEEE AVSS 2017, Best Paper Award at IEEE BTAS 2015, Honorable Mention Paper Award at IAPR ICB 2018, two Best Student Paper Awards at IAPR ICPR 2018, and Best Poster Awards at BTAS 2015 and 2016. He is Associate Editor of the IEEE Signal Processing Magazine, and IEEE Biometrics Compendium, and serves on the Information Forensics and Security Technical Committee of the IEEE Signal Processing Society. He is Member of Eta Kappa Nu, Pi Mu Epsilon, and Phi Beta Kappa. Rama Chellappa is Bloomberg Distinguished Professor in the Departments of Electrical and Computer Engineering and Biomedical Engineering at JHU. He is co-author and co-editor, respectively, of the Springer books, Unconstrained Face Recognition and Handbook of Remote Biometrics. At JHU, he is also affiliated with MINDS, CIS, and CLSP and the Malone Center for Engineering in Healthcare. He holds a non-tenure position as College Park Professor in the ECE department at University of Maryland (UMD). Before coming to JHU in August 2020, he was Distinguished University Professor, Minta Martin Professor of Engineering, Professor in the ECE department at the University of Maryland Institute Advanced Computer Studies. At UMD, he was also affiliated with the Center for Automation Research and the Department of Computer Science. From 1981-1991, he was Assistant and Associate Professor in the Department of EE-Systems at the University of Southern California. He received B.E. (Hons.) degree in Electronics and Communication Engineering from the University of Madras, India, in 1975 and M.E. (with distinction) degree from the Indian Institute of Science, Bangalore, India, in 1977. He received M.S.E.E. and Ph.D. degrees in Electrical Engineering from Purdue University, West Lafayette, IN, in 1978 and 1981, respectively. His current research interests are computer vision, machine learning, artificial intelligence, signal and image/video processing. Chellappa received an NSF Presidential Young Investigator Award, four IBM Faculty Development Awards, an Excellence in Teaching Award from the School of Engineering at USC, and several paper awards from Biometrics and Pattern Recognition conferences. He is a recipient of the 2020 IEEE Jack S. Kilby Signal Processing Medal. He is also a recipient of the K.S. Fu Prize from the International Association of Pattern Recognition (IAPR). He received the Society, Technical Achievement, and Meritorious Service Awards from the IEEE Signal Processing Society. He also received the Technical Achievement and Meritorious Service Awards from the IEEE Computer Society. Recently, he was recognized with the inaugural Leadership Award from the IEEE Biometrics Council. At UMD, he was elected as Distinguished Faculty Research Fellow, and as Distinguished Scholar-Teacher, and received three Outstanding Innovator Awards from the Office of Technology Commercialization, and an Outstanding GEMSTONE Mentor Award from the Honors College. He received the Outstanding Faculty Research Award and the Poole and Kent Teaching Award for Senior Faculty from the College of Engineering. In 2010, he was recognized as an Outstanding ECE by Purdue University. He also received the Distinguished Alumni Award from the Indian Institute of Science in 2016. He is Fellow of IEEE, IAPR, OSA, AAAS, ACM, and AAAI. He holds eight patents. Chellappa served as Editor-in-Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence. He has served as General and Technical Program Chair for several IEEE international and national conferences and workshops. He is Golden Core Member of the IEEE Computer Society and served as Distinguished Lecturer of the IEEE Signal Processing Society. He served as the inaugural President of the IEEE Biometrics Council.




25 Ebooks de Rama Chellappa

Shaohua Kevin Zhou & Rama Chellappa: Unconstrained Face Recognition
Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained …
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€96.29
Mark S. Nixon & Tieniu Tan: Human Identification Based on Gait
Human Identification Based on Gait is the first book to address gait as a biometric. Biometrics is now in a unique position where it affects most people’s lives. This is especially true of ‘gait’, wh …
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€96.29
Vishal M. Patel & Rama Chellappa: Sparse Representations and Compressive Sensing for Imaging and Vision
Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually muc …
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€64.19
Massimo Tistarelli & Stan Z. Li: Handbook of Remote Biometrics
The development of technologies for the identi?cation of individuals has driven the interest and curiosity of many people. Spearheaded and inspired by the Bertillon coding system for the classi?catio …
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€149.79
Rama Chellappa & Wenyi Zhao: Face Processing: Advanced Modeling and Methods
Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specifi …
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€82.49
Fulvio Gini & Nikolaos D. Sidiropoulos: Academic Press Library in Signal Processing
This second volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in communications …
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€230.49
Academic Press Library in Signal Processing
This fourth volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in Image, Video P …
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€179.40
Paulo S.R. Diniz & Patrick A. Naylor: Academic Press Library in Signal Processing
This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learnin …
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€229.70
Mats Viberg & Abdelhak Zoubir: Academic Press Library in Signal Processing
This third volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in array and stati …
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€179.23
David Bull & Min Wu: Academic Press Library in Signal Processing
This fifth volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in image and video …
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€140.37
Academic Press Library in Signal Processing, Volume 7
Academic Press Library in Signal Processing, Volume 7: Array, Radar and Communications Engineering is aimed at university researchers, post graduate students and R&D engineers in the industry, provid …
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€155.81
Academic Press Library in Signal Processing, Volume 6
Academic Press Library in Signal Processing, Volume 6: Image and Video Processing and Analysis and Computer Vision is aimed at university researchers, post graduate students and R&D engineers in the …
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€155.02
Rama Chellappa & Yi-Tong Zhou: Artificial Neural Networks for Computer Vision
This monograph is an outgrowth of the authors’ recent research on the de- velopment of algorithms for several low-level vision problems using artificial neural networks. Specific problems considered …
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€57.17
Nalini K Ratha & Vishal M. Patel: Deep Learning-Based Face Analytics
This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzman …
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€181.89
Rama Chellappa & Hien Van Nguyen: Meta Learning With Medical Imaging and Health Informatics Applications
Meta-Learning, or learning to learn, has become increasingly popular in recent years. Instead of building AI systems from scratch for each machine learning task, Meta-Learning constructs computationa …
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€127.40
Rama Chellappa: Can We Trust AI?
Artificial intelligence is part of our daily lives. How can we address its limitations and guide its use for the benefit of communities worldwide?Artificial intelligence (AI) has evolved from an expe …
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€17.94
Rama Chellappa & Tat-Jun Chin: Computer Vision – ACCV 2022
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022.The total of 277 contributions include …
EPUB
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€114.12
Rama Chellappa & Tat-Jun Chin: Computer Vision – ACCV 2022
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022.The total of 277 contributions include …
EPUB
Inglés
DRM
€191.92
Rama Chellappa & Tat-Jun Chin: Computer Vision – ACCV 2022
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022.The total of 277 contributions include …
EPUB
Inglés
DRM
€114.58
Rama Chellappa & Tat-Jun Chin: Computer Vision – ACCV 2022
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022.The total of 277 contributions include …
EPUB
Inglés
DRM
€126.87
Rama Chellappa & Tat-Jun Chin: Computer Vision – ACCV 2022
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022.The total of 277 contributions include …
EPUB
Inglés
DRM
€127.39
Rama Chellappa & Tat-Jun Chin: Computer Vision – ACCV 2022
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022.The total of 277 contributions include …
EPUB
Inglés
DRM
€114.31
Rama Chellappa & Tat-Jun Chin: Computer Vision – ACCV 2022
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022.The total of 277 contributions include …
EPUB
Inglés
DRM
€153.79