Ismir 2008
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Ismir 2008
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Author : Juan Pablo Bello
language : en
Publisher: Lulu.com
Release Date : 2008
Ismir 2008 written by Juan Pablo Bello and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Information retrieval categories.
Sequential Decision Making In Musical Intelligence
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Author : Elad Liebman
language : en
Publisher: Springer Nature
Release Date : 2019-10-01
Sequential Decision Making In Musical Intelligence written by Elad Liebman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Technology & Engineering categories.
Over the past 60 years, artificial intelligence has grown from an academic field of research to a ubiquitous array of tools used in everyday technology. Despite its many recent successes, certain meaningful facets of computational intelligence have yet to be thoroughly explored, such as a wide array of complex mental tasks that humans carry out easily, yet are difficult for computers to mimic. A prime example of a domain in which human intelligence thrives, but machine understanding is still fairly limited, is music. Over recent decades, many researchers have used computational tools to perform tasks like genre identification, music summarization, music database querying, and melodic segmentation. While these are all useful algorithmic solutions, we are still a long way from constructing complete music agents able to mimic (at least partially) the complexity with which humans approach music. One key aspect that hasn't been sufficiently studied is that of sequential decision-making in musical intelligence. Addressing this gap, the book focuses on two aspects of musical intelligence: music recommendation and multi-agent interaction in the context of music. Though motivated primarily by music-related tasks, and focusing largely on people's musical preferences, the work presented in this book also establishes that insights from music-specific case studies can also be applicable in other concrete social domains, such as content recommendation.Showing the generality of insights from musical data in other contexts provides evidence for the utility of music domains as testbeds for the development of general artificial intelligence techniques.Ultimately, this thesis demonstrates the overall value of taking a sequential decision-making approach in settings previously unexplored from this perspective.
Adaptive Multimedia Retrieval Understanding Media And Adapting To The User
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Author : Marcin Detyniecki
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-25
Adaptive Multimedia Retrieval Understanding Media And Adapting To The User written by Marcin Detyniecki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-25 with Computers categories.
This book constitutes the refereed proceedings of the 7th International Conference on Adaptive Multimedia Retrieval, AMR 2009, held in Madrid, Spain, in September 2009. The 12 revised full papers and the invited contribution presented were carefully reviewed. The papers are organized in topical sections on grasping multimedia streams; pinpointing music; adapting distances; understanding images; and around the user.
Exploring Music Contents
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Author : Solvi Ystad
language : en
Publisher: Springer
Release Date : 2011-09-15
Exploring Music Contents written by Solvi Ystad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-15 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 7th International Symposium on Computer Music Modeling and Retrieval, CMMR 2010, held in Málaga, Spain, in June 2010. The 22 revised full papers presented were specially reviewed and revised for inclusion in this proceedings volume. The book is divided in five main chapters which reflect the present challenges within the field of computer music modeling and retrieval. The chapters range from music interaction, composition tools and sound source separation to data mining and music libraries. One chapter is also dedicated to perceptual and cognitive aspects that are currently subject to increased interest in the MIR community.
Computational Music Analysis
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Author : David Meredith
language : en
Publisher: Springer
Release Date : 2015-10-27
Computational Music Analysis written by David Meredith and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-27 with Computers categories.
This book provides an in-depth introduction and overview of current research in computational music analysis. Its seventeen chapters, written by leading researchers, collectively represent the diversity as well as the technical and philosophical sophistication of the work being done today in this intensely interdisciplinary field. A broad range of approaches are presented, employing techniques originating in disciplines such as linguistics, information theory, information retrieval, pattern recognition, machine learning, topology, algebra and signal processing. Many of the methods described draw on well-established theories in music theory and analysis, such as Forte's pitch-class set theory, Schenkerian analysis, the methods of semiotic analysis developed by Ruwet and Nattiez, and Lerdahl and Jackendoff's Generative Theory of Tonal Music. The book is divided into six parts, covering methodological issues, harmonic and pitch-class set analysis, form and voice-separation, grammars and hierarchical reduction, motivic analysis and pattern discovery and, finally, classification and the discovery of distinctive patterns. As a detailed and up-to-date picture of current research in computational music analysis, the book provides an invaluable resource for researchers, teachers and students in music theory and analysis, computer science, music information retrieval and related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry.
Adaptive Multimedia Retrieval Semantics Context And Adaptation
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Author : Andreas Nürnberger
language : en
Publisher: Springer
Release Date : 2014-10-29
Adaptive Multimedia Retrieval Semantics Context And Adaptation written by Andreas Nürnberger and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-29 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Adaptive Multimedia Retrieval, AMR 2012, held in Copenhagen, Denmark, in October 2012. The 17 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers cover topics of state of the art contributions, features and classification, location context, language and semantics, music retrieval, and adaption and HCI.
Intelligent Multimedia Technologies For Networking Applications Techniques And Tools
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Author : Kanellopoulos, Dimitris
language : en
Publisher: IGI Global
Release Date : 2013-01-31
Intelligent Multimedia Technologies For Networking Applications Techniques And Tools written by Kanellopoulos, Dimitris and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-31 with Computers categories.
As ubiquitous multimedia applications benefit from the rapid development of intelligent multimedia technologies, there is an inherent need to present frameworks, techniques and tools that adopt these technologies to a range of networking applications. Intelligent Multimedia Technologies for Networking Applications: Techniques and Tools promotes the discussion of specific solutions for improving the quality of multimedia experience while investigating issues arising from the deployment of techniques for adaptive video streaming. This reference source provides relevant theoretical frameworks and leading empirical research findings and is suitable for practitioners and researchers in the area of multimedia technology.
Machine Audition Principles Algorithms And Systems
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Author : Wang, Wenwu
language : en
Publisher: IGI Global
Release Date : 2010-07-31
Machine Audition Principles Algorithms And Systems written by Wang, Wenwu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-31 with Computers categories.
Machine audition is the study of algorithms and systems for the automatic analysis and understanding of sound by machine. It has recently attracted increasing interest within several research communities, such as signal processing, machine learning, auditory modeling, perception and cognition, psychology, pattern recognition, and artificial intelligence. However, the developments made so far are fragmented within these disciplines, lacking connections and incurring potentially overlapping research activities in this subject area. Machine Audition: Principles, Algorithms and Systems contains advances in algorithmic developments, theoretical frameworks, and experimental research findings. This book is useful for professionals who want an improved understanding about how to design algorithms for performing automatic analysis of audio signals, construct a computing system for understanding sound, and learn how to build advanced human-computer interactive systems.
Machine Learning And Knowledge Discovery In Databases
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Author : José L. Balcázar
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-13
Machine Learning And Knowledge Discovery In Databases written by José L. Balcázar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-13 with Computers categories.
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2010, held in Barcelona, Spain, in September 2010. The 120 revised full papers presented in three volumes, together with 12 demos (out of 24 submitted demos), were carefully reviewed and selected from 658 paper submissions. In addition, 7 ML and 7 DM papers were distinguished by the program chairs on the basis of their exceptional scientific quality and high impact on the field. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. A topic widely explored from both ML and DM perspectives was graphs, with motivations ranging from molecular chemistry to social networks.
Rough Sets And Current Trends In Computing
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Author : Marcin Szczuka
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-09
Rough Sets And Current Trends In Computing written by Marcin Szczuka and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-09 with Computers categories.
This book constitutes the refereed proceedings of the 7th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2010, held in Warsaw, Poland, in June 2010.