advances in independent component analysis and learning machines

Advances In Independent Component Analysis And Learning Machines
Author: Ella Bingham
Publisher: Academic Press
Release Date: 2015-05-14
Pages: 328
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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.

Advances In Independent Component Analysis
Author: Mark Girolami
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Pages: 284
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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.

Recent Advances In Big Data And Deep Learning
Author: Luca Oneto
Publisher: Springer
Release Date: 2019-04-02
Pages: 392
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference.

Biometrics   Advances In Research And Application  2013 Edition
Author:
Publisher: ScholarlyEditions
Release Date: 2013-06-21
Pages: 140
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Biometrics—Advances in Research and Application: 2013 Edition is a ScholarlyBrief™ that delivers timely, authoritative, comprehensive, and specialized information about ZZZAdditional Research in a concise format. The editors have built Biometrics—Advances in Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about ZZZAdditional Research in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Biometrics—Advances in Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Advances In Web Based Learning
Author: Joseph Fong
Publisher: Springer
Release Date: 2003-08-02
Pages: 442
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book constitutes the refereed proceedings of the First International Conference on Web-Based Learning, ICWL 2002, held in Hong Kong, China in August 2002.The 34 revised full papers presented together with an invited keynote paper were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on system modeling and architectures, distance learning systems engineering, collaborative systems, experiences in distance learning, databases and data mining, and multimedia.

Advances In Machine Learning And Cybernetics
Author: Daniel S. Yeung
Publisher: Springer Science & Business Media
Release Date: 2006-04-18
Pages: 1110
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005, held in Guangzhou, China in August 2005. The 114 revised full papers of this volume are organized in topical sections on agents and distributed artificial intelligence, control, data mining and knowledge discovery, fuzzy information processing, learning and reasoning, machine learning applications, neural networks and statistical learning methods, pattern recognition, vision and image processing.

Advances In Neural Networks   ISNN 2005
Author: Jun Wang
Publisher: Springer Science & Business Media
Release Date: 2005-05-17
Pages: 1055
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30-June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China. ISNN emerged as a leading conference on neural computation in the region with - creasing global recognition and impact. ISNN 2005 received 1425 submissions from authors on ?ve continents (Asia, Europe, North America, South America, and Oc- nia), 33 countries and regions (Mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, India, Nepal, Iran, Qatar, United Arab Emirates, Turkey, Lithuania, Hungary, Poland, Austria, Switzerland, Germany, France, Sweden, Norway, Spain, Portugal, UK, USA, Canada, Venezuela, Brazil, Chile, Australia, and New Zealand). Based on rigorous reviews, 483 high-quality papers were selected by the Program Committee for presentation at ISNN 2005 and publication in the proce- ings, with an acceptance rate of less than 34%. In addition to the numerous contributed papers, 10 distinguished scholars were invited to give plenary speeches and tutorials at ISNN 2005.

Advances In Machine Learning
Author: Zhi-Hua Zhou
Publisher: Springer Science & Business Media
Release Date: 2009-10-06
Pages: 413
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The First Asian Conference on Machine Learning (ACML 2009) was held at Nanjing, China during November 2–4, 2009.This was the ?rst edition of a series of annual conferences which aim to provide a leading international forum for researchers in machine learning and related ?elds to share their new ideas and research ?ndings. This year we received 113 submissions from 18 countries and regions in Asia, Australasia, Europe and North America. The submissions went through a r- orous double-blind reviewing process. Most submissions received four reviews, a few submissions received ?ve reviews, while only several submissions received three reviews. Each submission was handled by an Area Chair who coordinated discussions among reviewers and made recommendation on the submission. The Program Committee Chairs examined the reviews and meta-reviews to further guarantee the reliability and integrity of the reviewing process. Twenty-nine - pers were selected after this process. To ensure that important revisions required by reviewers were incorporated into the ?nal accepted papers, and to allow submissions which would have - tential after a careful revision, this year we launched a “revision double-check” process. In short, the above-mentioned 29 papers were conditionally accepted, and the authors were requested to incorporate the “important-and-must”re- sionssummarizedbyareachairsbasedonreviewers’comments.Therevised?nal version and the revision list of each conditionally accepted paper was examined by the Area Chair and Program Committee Chairs. Papers that failed to pass the examination were ?nally rejected.

Audio Source Separation And Speech Enhancement
Author: Emmanuel Vincent
Publisher: John Wiley & Sons
Release Date: 2018-10-22
Pages: 504
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: Consolidated perspective on audio source separation and speech enhancement. Both historical perspective and latest advances in the field, e.g. deep neural networks. Diverse disciplines: array processing, machine learning, and statistical signal processing. Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs.

Advances In Neural Information Processing Systems 13
Author: Todd K. Leen
Publisher: MIT Press
Release Date: 2001
Pages: 1106
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The annual conference on Neural Information Processing Systems (NIPS) is the flagshipconference on neural computation. The conference is interdisciplinary, with contributions inalgorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing,reinforcement learning and control, implementations, and diverse applications. Only about 30 percentof the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high.These proceedings contain all of the papers that were presented at the 2000 conference.

Advances In E Learning  Experiences And Methodologies
Author: Garc¡a-Pe¤alvo, Francisco Jos‚
Publisher: IGI Global
Release Date: 2008-03-31
Pages: 420
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Web-based training, known as e-learning, has experienced a great evolution and growth in recent years, as the capacity for education is no longer limited by physical and time constraints. The emergence of such a prized learning tool mandates a comprehensive evaluation of the effectiveness and implications of e-learning. Advances in E-Learning: Experiences and Methodologies explores the technical, pedagogical, methodological, tutorial, legal, and emotional aspects of e-learning, considering and analyzing its different application contexts, and providing researchers and practitioners with an innovative view of e-learning as a lifelong learning tool for scholars in both academic and professional spheres.

Journal Of Machine Learning Research
Author:
Publisher:
Release Date: 2007
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Neural Networks And Statistical Learning
Author: Ke-Lin Du
Publisher: Springer Nature
Release Date: 2019-09-12
Pages: 988
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.

Statistical Learning And Pattern Analysis For Image And Video Processing
Author: Nanning Zheng
Publisher: Springer Science & Business Media
Release Date: 2009-07-25
Pages: 365
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing ?elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.

Artificial Neural Networks And Machine Learning   ICANN 2011
Author: Timo Honkela
Publisher: Springer Science & Business Media
Release Date: 2011-06-14
Pages: 474
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

Advances In Neural Networks   ISNN 2006
Author:
Publisher: Springer Science & Business Media
Release Date: 2006
Pages: 4288
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Advances In Neural Information Processing Systems 12
Author: Sara A. Solla
Publisher: MIT Press
Release Date: 2000
Pages: 1080
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented.

Neural Networks And Learning Machines
Author: Simon S. Haykin
Publisher: Prentice Hall
Release Date: 2009
Pages: 906
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Neural Networks and Learning Machines, Third Edition is renowned for its thoroughness and readability. This well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. This is ideal for professional engineers and research scientists. Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/ Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.

Advances In Neural Information Processing Systems 15
Author: Suzanna Becker
Publisher: MIT Press
Release Date: 2003
Pages: 1687
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Proceedings of the 2002 Neural Information Processing Systems Conference. The annual Neural Information Processing (NIPS) meeting is the flagship conference on neural computation. The conference draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists--and the presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and applications. Only about thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2002 conference.

Advances In Artificial Intelligence   IBERAMIA 2002
Author: Francisco J. Garijo
Publisher: Springer Science & Business Media
Release Date: 2002-10-30
Pages: 955
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book constitutes the refereed proceedings of the 8th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2002, held in Seville, Spain, in November 2002. The 97 revised full papers presented were carefully reviewed and selected from a total of 345 submissions. The papers are organized in topical sections on knowledge representation and reasoning, machine learning, uncertainty and fuzzy systems, genetic algorithms, neural nets, distributed artificial intelligence and multi-agent systems, natural language processing, intelligent tutoring systems, control and real time, robotics, and computer vision.