Advances in Independent Component Analysis and Learning Machines Book

Advances in Independent Component Analysis and Learning Machines


  • Author : Ella Bingham
  • Publisher : Academic Press
  • Release Date : 2015-05-14
  • Genre: Technology & Engineering
  • Pages : 328
  • ISBN 10 : 9780128028070

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Advances in Independent Component Analysis and Learning Machines 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.

Advances in Independent Component Analysis Book

Advances in Independent Component Analysis


  • Author : Mark Girolami
  • Publisher : Springer Science & Business Media
  • Release Date : 2000-07-17
  • Genre: Computers
  • Pages : 284
  • ISBN 10 : 1852332638

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Advances in Independent Component Analysis 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.

Recent Advances in Big Data and Deep Learning Book

Recent Advances in Big Data and Deep Learning


  • Author : Luca Oneto
  • Publisher : Springer
  • Release Date : 2019-04-02
  • Genre: Computers
  • Pages : 392
  • ISBN 10 : 9783030168414

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Recent Advances in Big Data and Deep Learning Excerpt :

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.

Independent Component Analysis Book
Score: 4
From 2 Ratings

Independent Component Analysis


  • Author : Aapo Hyvärinen
  • Publisher : John Wiley & Sons
  • Release Date : 2004-04-05
  • Genre: Science
  • Pages : 504
  • ISBN 10 : 9780471464198

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Independent Component Analysis Excerpt :

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. Independent Component Analysis is divided into four sections thatcover: * 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 theircontributions to the development of ICA and here cover all therelevant theory, new algorithms, and applications in variousfields. Researchers, students, and practitioners from a variety ofdisciplines will find this accessible volume both helpful andinformative.

Artificial Neural Networks and Machine Learning     ICANN 2019  Theoretical Neural Computation Book

Artificial Neural Networks and Machine Learning ICANN 2019 Theoretical Neural Computation


  • Author : Igor V. Tetko
  • Publisher : Springer Nature
  • Release Date : 2019-09-09
  • Genre: Computers
  • Pages : 839
  • ISBN 10 : 9783030304874

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Artificial Neural Networks and Machine Learning ICANN 2019 Theoretical Neural Computation Excerpt :

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Machine Learning and Knowledge Discovery in Databases Book

Machine Learning and Knowledge Discovery in Databases


  • Author : Peggy Cellier
  • Publisher : Springer Nature
  • Release Date : 2020-03-27
  • Genre: Computers
  • Pages : 745
  • ISBN 10 : 9783030438876

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Machine Learning and Knowledge Discovery in Databases Excerpt :

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019.

Biometrics   Advances in Research and Application  2013 Edition Book

Biometrics Advances in Research and Application 2013 Edition


  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release Date : 2013-06-21
  • Genre: Computers
  • Pages : 140
  • ISBN 10 : 9781481685764

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Biometrics Advances in Research and Application 2013 Edition Excerpt :

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/.

Web and Big Data Book

Web and Big Data


  • Author : Xin Wang
  • Publisher : Springer Nature
  • Release Date : 2020-10-15
  • Genre: Computers
  • Pages : 829
  • ISBN 10 : 9783030602598

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Web and Big Data Excerpt :

This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.

Computer Vision     ECCV 2018 Book

Computer Vision ECCV 2018


  • Author : Vittorio Ferrari
  • Publisher : Springer
  • Release Date : 2018-10-06
  • Genre: Computers
  • Pages : 835
  • ISBN 10 : 9783030012281

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Computer Vision ECCV 2018 Excerpt :

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

Audio Source Separation and Speech Enhancement Book

Audio Source Separation and Speech Enhancement


  • Author : Emmanuel Vincent
  • Publisher : John Wiley & Sons
  • Release Date : 2018-10-22
  • Genre: Technology & Engineering
  • Pages : 504
  • ISBN 10 : 9781119279891

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Audio Source Separation and Speech Enhancement Excerpt :

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.

Progress in Advanced Computing and Intelligent Engineering Book

Progress in Advanced Computing and Intelligent Engineering


  • Author : Bibudhendu Pati
  • Publisher : Springer
  • Release Date : 2018-12-17
  • Genre: Technology & Engineering
  • Pages : 607
  • ISBN 10 : 9789811317088

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Progress in Advanced Computing and Intelligent Engineering Excerpt :

The book gathers high-quality research papers presented at the International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2017). It includes technical sections describing progress in the fields of advanced computing and intelligent engineering, and is primarily intended for postgraduate students and researchers working in Computer Science and Engineering. However, researchers working in Electronics will also find the book useful, as it addresses hardware technologies and next-gen communication technologies.

Intelligent Computing Book

Intelligent Computing


  • Author : Kohei Arai
  • Publisher : Springer
  • Release Date : 2018-11-01
  • Genre: Technology & Engineering
  • Pages : 1165
  • ISBN 10 : 9783030011741

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Intelligent Computing Excerpt :

This book, gathering the Proceedings of the 2018 Computing Conference, offers a remarkable collection of chapters covering a wide range of topics in intelligent systems, computing and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process. Of those 568 submissions, 192 submissions (including 14 poster papers) were selected for inclusion in these proceedings. Despite computer science’s comparatively brief history as a formal academic discipline, it has made a number of fundamental contributions to science and society—in fact, along with electronics, it is a founding science of the current epoch of human history (‘the Information Age’) and a main driver of the Information Revolution. The goal of this conference is to provide a platform for researchers to present fundamental contributions, and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. This book collects state of the art chapters on all aspects of Computer Science, from classical to intelligent. It covers both the theory and applications of the latest computer technologies and methodologies. Providing the state of the art in intelligent methods and techniques for solving real-world problems, along with a vision of future research, the book will be interesting and valuable for a broad readership.

Emerging Research in Data Engineering Systems and Computer Communications Book

Emerging Research in Data Engineering Systems and Computer Communications


  • Author : P. Venkata Krishna
  • Publisher : Springer Nature
  • Release Date : 2020-02-10
  • Genre: Computers
  • Pages : 694
  • ISBN 10 : 9789811501357

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Emerging Research in Data Engineering Systems and Computer Communications Excerpt :

This book gathers selected papers presented at the 2nd International Conference on Computing, Communications and Data Engineering, held at Sri Padmavati Mahila Visvavidyalayam, Tirupati, India from 1 to 2 Feb 2019. Chiefly discussing major issues and challenges in data engineering systems and computer communications, the topics covered include wireless systems and IoT, machine learning, optimization, control, statistics, and social computing.

Digital Transformation and Emerging Technologies for Fighting COVID 19 Pandemic  Innovative Approaches Book

Digital Transformation and Emerging Technologies for Fighting COVID 19 Pandemic Innovative Approaches


  • Author : Aboul Ella Hassanien
  • Publisher : Springer Nature
  • Release Date : 2021-03-10
  • Genre: Technology & Engineering
  • Pages : 310
  • ISBN 10 : 9783030633073

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Digital Transformation and Emerging Technologies for Fighting COVID 19 Pandemic Innovative Approaches Excerpt :

This book is one of the first books that deal with the COVID-19 pandemic. COVID-19 pandemic has affected countries all over the world and has made a significant impact on daily life and healthcare facilities and treatment systems. The book covers the main recent emerging technologies that are related to the COVID-19 crisis. The technologies that are included in this book play a significant role in tackling COVID-19 in the future. The scope of this book is to cover all advanced emerging technologies and artificial intelligence techniques to fight against COVID-19 pandemic.

Swarm Intelligence Optimization Book

Swarm Intelligence Optimization


  • Author : Abhishek Kumar
  • Publisher : John Wiley & Sons
  • Release Date : 2020-12-08
  • Genre: Computers
  • Pages : 384
  • ISBN 10 : 9781119778851

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Swarm Intelligence Optimization Excerpt :

Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.