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In this concise handbook, 70 model examinations show you how to deal effectively with practical evidentiary issues that every trial lawyer faces.
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.
This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Symposium on Computer Music Modeling and Retrieval, CMMR 2008 - Genesis of Meaning in Sound and Music, held in Copenhagen, Denmark, in May 2008. The 21 revised full papers presented were specially reviewed and corrected for this proceedings volume. CMMR 2008 seeks to enlarge upon the Sense of Sounds-concept by taking into account the musical structure as a whole. More precisely, the workshop will have as its theme Genesis of Meaning in Sound and Music. The purpose is hereby to establish rigorous research alliances between computer and engineering sciences (information retrieval, programming, acoustics, signal processing) and areas within the humanities (in particular perception, cognition, musicology, philosophy), as well as to globally address the notion of sound meaning and its implications in music, modeling and retrieval.
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.
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An Introduction to Audio Content Analysis Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches An Introduction to Audio Content Analysis serves as a comprehensive guide on audio content analysis explaining how signal processing and machine learning approaches can be utilized for the extraction of musical content from audio. It gives readers the algorithmic understanding to teach a computer to interpret music signals and thus allows for the design of tools for interacting with music. The work ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics a...
This volume contains papers describing state-of-the-art technology for advanced multimedia systems. It presents applications in broadcasting, copyright protection of multimedia content, image indexing and retrieval, and other topics related to computer vision.The proceedings have been selected for coverage in: ? Index to Scientific & Technical Proceedings? (ISTP? / ISI Proceedings)? Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)