Independent Component Analyses, Wavelets, and Neural Networks
Author: Anthony J. Bell
Publisher: Society of Photo Optical
Published: 2003
Total Pages: 390
ISBN-13: 9780819449627
DOWNLOAD EBOOK →Author: Anthony J. Bell
Publisher: Society of Photo Optical
Published: 2003
Total Pages: 390
ISBN-13: 9780819449627
DOWNLOAD EBOOK →Author: Harold H. Szu
Publisher: SPIE-International Society for Optical Engineering
Published: 2007
Total Pages: 460
ISBN-13:
DOWNLOAD EBOOK →Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
Author: Harold H. Szu
Publisher:
Published: 2010
Total Pages: 402
ISBN-13: 9780819481672
DOWNLOAD EBOOK →Includes Proceedings Vol. 7821
Author: Harold H. Szu
Publisher: Society of Photo Optical
Published: 2009
Total Pages: 460
ISBN-13: 9780819476098
DOWNLOAD EBOOK →Includes Proceedings Vol. 7821
Author: Harold Szu
Publisher:
Published: 2011
Total Pages: 536
ISBN-13: 9780819486325
DOWNLOAD EBOOK →Includes Proceedings Vol. 7821
Author: Aapo Hyvärinen
Publisher: John Wiley & Sons
Published: 2004-04-05
Total Pages: 505
ISBN-13: 0471464198
DOWNLOAD EBOOK →A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in image processing, telecommunications, audio signal processing, and more. Independent Component Analysis is divided into four sections that cover: * General mathematical concepts utilized in the book * The basic ICA model and its solution * Various extensions of the basic ICA model * Real-world applications for ICA models Authors Hyvarinen, Karhunen, and Oja are well known for their contributions to the development of ICA and here cover all the relevant theory, new algorithms, and applications in various fields. Researchers, students, and practitioners from a variety of disciplines will find this accessible volume both helpful and informative.
Author: Harold H. Szu
Publisher: Society of Photo Optical
Published: 2005
Total Pages: 204
ISBN-13: 9780819458032
DOWNLOAD EBOOK →Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
Author: Mark Girolami
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 286
ISBN-13: 1447104439
DOWNLOAD EBOOK →Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the significant developments of the past year. It covers topics such as the use of hidden Markov methods, the independence assumption, and topographic ICA, and includes tutorial chapters on Bayesian and variational approaches. It also provides the latest approaches to ICA problems, including an investigation into certain "hard problems" for the very first time. Comprising contributions from the most respected and innovative researchers in the field, this volume will be of interest to students and researchers in computer science and electrical engineering; research and development personnel in disciplines such as statistical modelling and data analysis; bio-informatic workers; and physicists and chemists requiring novel data analysis methods.