Share

Advances in Independent Component Analysis

2012-12-06 Computers
Download Advances in Independent Component Analysis PDF Online Free

Author :
Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 439/5 ( reviews)

GET EBOOK


Book Synopsis Advances in Independent Component Analysis by : Mark Girolami

Download or read book Advances in Independent Component Analysis written by Mark Girolami. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Independent Component Analysis

2004-04-05 Science
Download Independent Component Analysis PDF Online Free

Author :
Release : 2004-04-05
Genre : Science
Kind : eBook
Book Rating : 198/5 ( reviews)

GET EBOOK


Book Synopsis Independent Component Analysis by : Aapo Hyvärinen

Download or read book Independent Component Analysis written by Aapo Hyvärinen. This book was released on 2004-04-05. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Independent Component Analysis and Learning Machines

2015-05-14 Computers
Download Advances in Independent Component Analysis and Learning Machines PDF Online Free

Author :
Release : 2015-05-14
Genre : Computers
Kind : eBook
Book Rating : 076/5 ( reviews)

GET EBOOK


Book Synopsis Advances in Independent Component Analysis and Learning Machines by : Ella Bingham

Download or read book Advances in Independent Component Analysis and Learning Machines written by Ella Bingham. This book was released on 2015-05-14. Available in PDF, EPUB and Kindle. Book excerpt: In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep learning Machine vision and image retrieval A review of developments in the theory and applications of independent component analysis, and its influence in important areas such as statistical signal processing, pattern recognition and deep learning A diverse set of application fields, ranging from machine vision to science policy data Contributions from leading researchers in the field

Independent Component Analysis (ICA)

2017 Independent component analysis
Download Independent Component Analysis (ICA) PDF Online Free

Author :
Release : 2017
Genre : Independent component analysis
Kind : eBook
Book Rating : 952/5 ( reviews)

GET EBOOK


Book Synopsis Independent Component Analysis (ICA) by : Addisson Salazar

Download or read book Independent Component Analysis (ICA) written by Addisson Salazar. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt: "This book embraces a significant vision of ICA that presents innovative theoretical and practical approaches. This book aims to be an updated and advanced source of knowledge to solve real-world problems efficiently based on ICA.The suitability of ICA for a given problem of data analysis can be posed from different perspectives considering the physical interpretation of the phenomenon under analysis: (i) Estimation of the probability density of multivariate data without physical meaning; (ii) learning of some bases (usually called activation functions), which are more or less connected to the actual behaviors that are implicit in the physical phenomenon; and (iii) to identify where sources are originated and how they mix before arriving to the sensors to provide a physical explanation of the linear mixture model. In any case, even though the complexity of the problem constrains a physical interpretation, ICA can be used as a general-purpose data mining technique. The chapters that compose this book are written by premier researchers that present enlightening discussions, convincing demonstrations, and guidelines for future directions of research. The contents of this book span biomedical signal processing, dynamic modeling, next generation wireless communication, and sound and ultrasound signal processing. It also includes comprehensive works based on the related ICA techniques known as bounded component analysis (BCA) and non-negative matrix factorization"--

Independent Component Analysis

2004 Independent component analysis
Download Independent Component Analysis PDF Online Free

Author :
Release : 2004
Genre : Independent component analysis
Kind : eBook
Book Rating : 158/5 ( reviews)

GET EBOOK


Book Synopsis Independent Component Analysis by : James V. Stone

Download or read book Independent Component Analysis written by James V. Stone. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt: 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 a recently developed method in which the goal is to find a linear representation of nongaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and signal separation.

You may also like...