Independent component analysis : (Record no. 520938)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 03078nam a22003498i 4500 |
| 001 - CONTROL NUMBER | |
| control field | CR9780511624148 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | UkCbUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200124160309.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
| fixed length control field | m|||||o||d|||||||| |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr|||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 090916s2001||||enk o ||1 0|eng|d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780511624148 (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9780521792981 (hardback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UkCbUP |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | UkCbUP |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.87 |
| Item number | .I516 2001 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3/2 |
| Edition number | 21 |
| 245 00 - TITLE STATEMENT | |
| Title | Independent component analysis : |
| Remainder of title | principles and practice / |
| Statement of responsibility, etc | edited by Stephen Roberts, Richard Everson. |
| 264 #1 - Production, Publication, Distribution, Manufacture, and Copyright Notice (R) | |
| Place of production, publication, distribution, manufacture (R) | Cambridge : |
| Name of producer, publisher, distributor, manufacturer (R) | Cambridge University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2001. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xii, 338 pages) : |
| Other physical details | digital, PDF file(s). |
| 336 ## - Content Type (R) | |
| Content type term (R) | text |
| Content type code (R) | txt |
| Source (NR) | rdacontent |
| 337 ## - Media Type (R) | |
| Media type term (R) | computer |
| Media type code (R) | c |
| Source (NR) | rdamedia |
| 338 ## - Carrier Type (R) | |
| Carrier type term (R) | online resource |
| Carrier type code (R) | cr |
| Source (NR) | rdacarrier |
| 500 ## - GENERAL NOTE | |
| General note | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Fast ICA by a fixed-point algorithm that maximizes non-gaussianity / Aapo Hyvarinen -- ICA, graphical models and variational methods / H. Attias -- Nonlinear ICA / J. Karhunen -- Separation of non-stationary natural signals / Lucas C. Parra & Clay D. Spence -- Separation of non-stationary sources / Jean-Francois Cardoso & Dinh-Tuan Pham -- Blind source separation by sparse decomposition in a signal dictionary / M. Zibulevsky, B.A. Pearlmutter, P. Bofill & P. Kisilev -- Ensemble learning for blind source separation / J.W. Miskin & D.J.C. MacKay -- Image processing methods using ICA mixture models / T.-W. Lee & M.S. Lewicki -- Latent class and trait models for data classification and visualisation / M.A. Girolami -- Particle filters for non-stationary ICA / R.M. Everson & S.J. Roberts -- ICA / W.D. Penny, S.J. Roberts & R.M. Everson. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Independent Component Analysis (ICA) has recently become an important tool for modelling and understanding empirical datasets. It is a method of separating out independent sources from linearly mixed data, and belongs to the class of general linear models. ICA provides a better decomposition than other well-known models such as principal component analysis. This self-contained book contains a structured series of edited papers by leading researchers in the field, including an extensive introduction to ICA. The major theoretical bases are reviewed from a modern perspective, current developments are surveyed and many case studies of applications are described in detail. The latter include biomedical examples, signal and image denoising and mobile communications. ICA is discussed in the framework of general linear models, but also in comparison with other paradigms such as neural network and graphical modelling methods. The book is ideal for researchers and graduate students in the field. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Neural networks (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Independent component analysis. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Roberts, Stephen, |
| Dates associated with a name | 1965- |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Everson, Richard, |
| Dates associated with a name | 1961- |
| Relator term | editor. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Print version: |
| International Standard Book Number | 9780521792981 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1017/CBO9780511624148">https://doi.org/10.1017/CBO9780511624148</a> |
No items available.