WorldCat Identities

Príncipe, J. C. (José C.)

Overview
Works: 45 works in 158 publications in 1 language and 3,130 library holdings
Genres: Conference papers and proceedings 
Roles: Author, Editor, Creator, Other
Classifications: QA76.87, 612.82
Publication Timeline
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Most widely held works by J. C Príncipe
Neural and adaptive systems : fundamentals through simulations by J. C Príncipe( Book )

16 editions published between 1999 and 2000 in English and held by 295 WorldCat member libraries worldwide

"This interactive book and CD-ROM will help you develop a better understanding of the behaviour of adaptive systems. It begins by explaining the fundamentals of adaptive linear regression and builds on these concepts to explore pattern classification, function approximation, feature extraction, and time-series modeling/prediction." "Key Features of the Text: the text and CD combine to become an interactive learning tool; emphasis is on understanding the behavior of adaptive systems rather than mathematical derivations; each key concept is followed by an interactive example; over 200 fully functional simulations of adaptive systems are included; the text and CD offer a unified view of neural networks, adaptive filters, pattern recognition and support vector machines; and hyperlinks allow instant access to keyword definitions, bibliographic references, equations, and advanced discussions of concepts"--Jacket
Kernel adaptive filtering : a comprehensive introduction by J. C Príncipe( Book )

18 editions published between 2010 and 2014 in English and held by 134 WorldCat member libraries worldwide

Online learning from a signal processing perspective. There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada
Brain-machine interface engineering by Justin Cort Sanchez( Book )

10 editions published in 2007 in English and Undetermined and held by 88 WorldCat member libraries worldwide

"Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs."--Jacket
Biocomputing( Book )

4 editions published in 2002 in English and held by 86 WorldCat member libraries worldwide

Information theoretic learning : Renyi's entropy and kernel perspectives by J. C Príncipe( Book )

13 editions published between 2010 and 2012 in English and held by 83 WorldCat member libraries worldwide

"This book presents the first cohesive treatment of Information Theoretic Learning (ITL) algorithms to adapt linear or nonlinear learning machines both in supervised or unsupervised paradigms. ITL is a framework where the conventional concepts of second order statistics (covariance, L2 distances, correlation functions) are substituted by scalars and functions with information theoretic underpinnings, respectively entropy, mutual information and correntropy. ITL quantifies the stochastic structure of the data beyond second order statistics for improved performance without using full-blown Bayesian approaches that require a much larger computational cost. This is possible because of a non-parametric estimator of Renyi's quadratic entropy that is only a function of pairwise differences between samples. The book compares the performance of ITL algorithms with the second order counterparts in many engineering and machine learning applications. Students, practitioners and researchers interested in statistical signal processing, computational intelligence, and machine learning will find in this book the theory to understand the basics, the algorithms to implement applications, and exciting but still unexplored leads that will provide fertile ground for future research. José C. Principe is Distinguished Professor of Electrical and Biomedical Engineering, and BellSouth Professor at the University of Florida, and the Founder and Director of the Computational NeuroEngineering Laboratory. He is an IEEE and AIMBE Fellow, Past President of the International Neural Network Society, Past Editor-in-Chief of the IEEE Trans. on Biomedical Engineering and the Founder Editor-in-Chief of the IEEE Reviews on Biomedical Engineering. He has written an interactive electronic book on Neural Networks, a book on Brain Machine Interface Engineering and more recently a book on Kernel Adaptive Filtering, and was awarded the 2011 IEEE Neural Network Pioneer Award."--Publisher's website
Advances in self-organizing maps : 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009 : proceedings by Pablo A Estévez( Book )

27 editions published between 2007 and 2013 in English and Undetermined and held by 80 WorldCat member libraries worldwide

"Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields. This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods."--Back cover blurb
System parameter identification : information criteria and algorithms by Badong Chen( Book )

2 editions published in 2013 in English and held by 50 WorldCat member libraries worldwide

Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing, investigating system identification from an information theory point of view. The book is divided into six chapters, which cover the information needed to understand the theory and application of system parameter identification
Spatiotemporal models in biological and artificial systems( Book )

6 editions published between 1996 and 1997 in English and held by 47 WorldCat member libraries worldwide

Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : a new beginning for human health : 17-21 September, 2003, Cancún, Mexico by IEEE Engineering in Medicine and Biology Society( Book )

2 editions published in 2003 in English and held by 28 WorldCat member libraries worldwide

Brain-computer interfaces : an international assessment of research and development trends by Theodore W Berger( )

5 editions published in 2008 in English and held by 5 WorldCat member libraries worldwide

Brain-computer interface (BCI) research deals with establishing communication pathways between the brain and external devices where such pathways do not otherwise exist. Throughout the world, such research is surprisingly extensive and expanding. BCI research is rapidly approaching a level of first-generation medical practice for use by individuals whose neural pathways are damaged, and use of BCI technologies is accelerating rapidly in nonmedical arenas of commerce as well, particularly in the gaming, automotive, and robotics industries. The technologies used for BCI purposes are cutting-edge
Biocomputing( Book )

2 editions published in 2002 in English and held by 4 WorldCat member libraries worldwide

Special topic section on advances in statistical signal processing for medicine( Book )

2 editions published in 2000 in English and held by 3 WorldCat member libraries worldwide

Independent component analysis and blind signal separation : 6th international conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006 : proceedings by Justinian P Rosca( Book )

8 editions published in 2006 in English and held by 3 WorldCat member libraries worldwide

New directions in statistical signal processing : from systems to brain by Simon S Haykin( Book )

1 edition published in 2007 in English and held by 2 WorldCat member libraries worldwide

Leading researchers in signal processing and neural computation present work aimed at promoting the interaction and cross-fertilization between the two fields
Automated detection and quantification of petit mal seizures in the electroencephalogram by J. C Príncipe( )

2 editions published in 1979 in English and held by 2 WorldCat member libraries worldwide

Advances in self-organising maps( Book )

1 edition published in 2009 in English and held by 2 WorldCat member libraries worldwide

Statistical pattern recognition for synthetic aperture radar (SAR)/automatic target recognition (ATR) : Volume 2 by Jian Li( Book )

2 editions published in 2001 in English and held by 1 WorldCat member library worldwide

State-of-the-art research on spectral estimation, feature extraction, and pattern recognition algorithms are presented for radar signal processing and automatic target recognition. Advanced space-time spectral estimation algorithms are presented for multiple moving target feature extraction as well as clutter and jamming suppression for airborne high range resolution (HRR) phased-array radar. A nonparametric adaptive filtering-based approach, referred to as the Gapped-data Amplitude and Phase EStimation (GAPES) algorithm, is proposed for the spectral analysis of gapped data sequences as well as synthetic aperture radar (SAR) imaging with angle diversity data fusion. A QUasi-parametric ALgorithm for target feature Extraction (QUALE) algorithm is also investigated for angle diversity data fusion. Support Vector Machines (SVMs) as compared with other advanced classifiers in the MSTAR Public Domain Release and HRR data are found to outperform neural networks and matched filters. A new concept to create negative examples from the known target class is presented and shown to tremendously improve the rejection of confusers. Finally, Information Theoretic Learning (ITL) is proposed as a new algorithm to demix HRR signatures of closely parked targets
Design and implementation of biologically realistic signal to symbol translators by J. C Príncipe( Book )

2 editions published in 2001 in English and held by 1 WorldCat member library worldwide

Abstract: This paper reviews the problem of translating signals into symbols preserving maximally the information contained in the signal time structure. In this context, we motivate the use of nonconvergent dynamics for the signal to symbol translator. We then describe a biologically realistic model of the olfactory system proposed by Walter Freeman that has locally stable dynamics but is globally chaotic. We present results of simulations and measurements obtained from a fabricated analog VLSI chip
Biocomputing by P. M Pardalos( )

1 edition published in 2002 in English and held by 0 WorldCat member libraries worldwide

In the quest to understand and model healthy or sick human body functions, researchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is advancing the development of the new field of biomedical computing, which is an interface between signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine. This volume contains a collection of refereed papers. Included are seminal contributions in genomics, global optimization in biomedicine, computational neuroscience, FMRI, brain dynamics, epileptic seizure prediction and cancer diagnostics. Audience: The book is addressed not only to students of biomedical engineering and biocomputing, but to all scientists in various disciplines who need to learn more about biomedical computing
 
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Neural and adaptive systems : fundamentals through simulations
Alternative Names
Principe, J. C.

Príncipe, José

Príncipe, José C.

Príncipe, José C. 1950-

Príncipe, José Carlos 1950-

Languages
English (123)

Covers
Kernel adaptive filtering : a comprehensive introductionBrain-machine interface engineeringBiocomputingInformation theoretic learning : Renyi's entropy and kernel perspectivesAdvances in self-organizing maps : 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009 : proceedingsBrain-computer interfaces : an international assessment of research and development trendsBiocomputingIndependent component analysis and blind signal separation : 6th international conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006 : proceedings