Advances in Neural Networks ISNN 2010

The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes. More recently, several color-cover sublines have been added featuring, beyond a collection of papers, various added-value components; these sublines include

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  • Author : James Kwok
  • Publisher : Springer Science & Business Media
  • Pages : 641 pages
  • ISBN : 3642133177
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAdvances in Neural Networks ISNN 2010

Advances in Neural Networks -- ISNN 2010

Advances in Neural Networks -- ISNN 2010
  • Author : James Kwok,Liqing Zhang,Bao-Liang Lu
  • Publisher : Springer Science & Business Media
  • Release : 20 May 2010
GET THIS BOOKAdvances in Neural Networks -- ISNN 2010

The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a

Adaptive Blind Signal and Image Processing

Adaptive Blind Signal and Image Processing
  • Author : Andrzej Cichocki,Shun-ichi Amari
  • Publisher : John Wiley & Sons
  • Release : 14 June 2002
GET THIS BOOKAdaptive Blind Signal and Image Processing

With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation: Independent, Principal, Minor Component Analysis, and Multichannel Blind Deconvolution (MBD) and Equalization. Containing over 1400 references and mathematical expressions Adaptive Blind Signal and Image Processing delivers an unprecedented collection of useful techniques for adaptive blind

Independent Component Analysis and Signal Separation

Independent Component Analysis and Signal Separation
  • Author : Mike E. Davies,Christopher C. James,Samer A. Abdallah,Mark D. Plumbley
  • Publisher : Springer Science & Business Media
  • Release : 28 August 2007
GET THIS BOOKIndependent Component Analysis and Signal Separation

This book constitutes the refereed proceedings of the 7th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2007, held in London, UK, in September 2007. It covers algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing.

Blind Source Separation

Blind Source Separation
  • Author : Ganesh R. Naik,Wenwu Wang
  • Publisher : Springer
  • Release : 21 May 2014
GET THIS BOOKBlind Source Separation

Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in

Independent Component Analysis

Independent Component Analysis
  • Author : Dr. James V. Stone
  • Publisher : MIT Press
  • Release : 06 May 2021
GET THIS BOOKIndependent Component Analysis

A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons of computational and conceptual simplicity, the representation is often sought as a linear transformation of the original data. In other words, each component of the representation is a linear combination of the original variables. Well-known linear transformation methods include principal component analysis, factor analysis, and projection pursuit. Independent component analysis (ICA) is

Handbook of Blind Source Separation

Handbook of Blind Source Separation
  • Author : Pierre Comon,Christian Jutten
  • Publisher : Academic Press
  • Release : 17 February 2010
GET THIS BOOKHandbook of Blind Source Separation

Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy
  • Author : Dajiang Zhu,Jingwen Yan,Heng Huang,Li Shen,Paul M. Thompson,Carl-Fredrik Westin,Xavier Pennec,Sarang Joshi,Mads Nielsen,Tom Fletcher,Stanley Durrleman,Stefan Sommer
  • Publisher : Springer Nature
  • Release : 10 October 2019
GET THIS BOOKMultimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected. The MBAI papers intend to move forward the state of the art

Independent Component Analysis and Signal Separation

Independent Component Analysis and Signal Separation
  • Author : Tulay Adali,Christian Jutten,Joao Marcos Travassos Romano,Allan Kardec Barros
  • Publisher : Springer Science & Business Media
  • Release : 25 February 2009
GET THIS BOOKIndependent Component Analysis and Signal Separation

This volume contains the papers presented at the 8th International Conf- ence on Independent Component Analysis (ICA) and Source Separation held in Paraty, Brazil, March 15–18, 2009. This year's event resulted from scienti?c collaborations between a team of researchers from ?ve di?erent Brazilian u- versities and received the support of the Brazilian Telecommunications Society (SBrT) as well as the ?nancial sponsorship of CNPq, CAPES and FAPERJ. Independent component analysis and signal separation is one of the most - citing current

Artificial Intelligence and Soft Computing — ICAISC 2004

Artificial Intelligence and Soft Computing — ICAISC 2004
  • Author : Leszek Rutkowski,Jörg Siekmann,Ryszard Tadeusiewicz,Lotfi A. Zadeh
  • Publisher : Springer
  • Release : 18 May 2004
GET THIS BOOKArtificial Intelligence and Soft Computing — ICAISC 2004

This book constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004, held in Zakopane, Poland in June 2004. The 172 revised contributed papers presented together with 17 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on neural networks, fuzzy systems, evolutionary algorithms, rough sets, soft computing in classification, image processing, robotics, multiagent systems, problems in AI, intelligent control, modeling and system identification, medical applications, mechanical applications, and applications

Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities

Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities
  • Author : Danail Stoyanov,Zeike Taylor,Enzo Ferrante,Adrian V. Dalca,Anne Martel,Lena Maier-Hein,Sarah Parisot,Aristeidis Sotiras,Bartlomiej Papiez,Mert R. Sabuncu,Li Shen
  • Publisher : Springer
  • Release : 15 September 2018
GET THIS BOOKGraphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities

This book constitutes the refereed joint proceedings of the Second International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2018 and the First International Workshop on Integrating Medical Imaging and Non-Imaging Modalities, Beyond MIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 6 full papers presented at GRAIL 2018 and the 5 full papers presented at BeYond MIC 2018 were carefully reviewed and selected. The GRAIL papers cover a wide range of

Independent Component Analysis

Independent Component Analysis
  • Author : Aapo Hyvärinen,Juha Karhunen,Erkki Oja
  • Publisher : John Wiley & Sons
  • Release : 05 April 2004
GET THIS BOOKIndependent Component Analysis

A comprehensive introduction to ICA for students andpractitioners Independent Component Analysis (ICA) is one of the most excitingnew topics in fields such as neural networks, advanced statistics,and signal processing. This is the first book to provide acomprehensive introduction to this new technique complete with thefundamental mathematical background needed to understand andutilize it. It offers a general overview of the basics of ICA,important solutions and algorithms, and in-depth coverage of newapplications in image processing, telecommunications, audio signalprocessing, and more.

Handbook of Neural Network Signal Processing

Handbook of Neural Network Signal Processing
  • Author : Yu Hen Hu,Jenq-Neng Hwang
  • Publisher : CRC Press
  • Release : 03 October 2018
GET THIS BOOKHandbook of Neural Network Signal Processing

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech,

EEG Signal Processing

EEG Signal Processing
  • Author : Saeid Sanei,Jonathon A. Chambers
  • Publisher : John Wiley & Sons
  • Release : 28 May 2013
GET THIS BOOKEEG Signal Processing

Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques,