By Andreas Nürnberger, Sebastian Stober, Birger Larsen, Marcin Detyniecki (eds.)
This e-book constitutes the completely refereed post-conference complaints of the tenth overseas convention on Adaptive Multimedia Retrieval, AMR 2012, held in Copenhagen, Denmark, in October 2012.
The 17 revised complete papers provided have been conscientiously reviewed and chosen from various submissions. The papers disguise issues of cutting-edge contributions, positive factors and class, place context, language and semantics, tune retrieval, and adaption and HCI.
Read Online or Download Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation: 10th International Workshop, AMR 2012, Copenhagen, Denmark, October 24-25, 2012, Revised Selected Papers PDF
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Extra info for Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation: 10th International Workshop, AMR 2012, Copenhagen, Denmark, October 24-25, 2012, Revised Selected Papers
In: Proceedings of the Central European Seminar on Computer Graphics (2012) 36. : A tensor-based approach for automatic music genre classiﬁcation. In: Proceedings of the EUSIPCO, Lausanne, Switzerland (2008) 37. : Non-negative tensor factorization applied to music genre classiﬁcation. IEEE Trans. Audio Speech Lang. Process. 18(8), 1955–1967 (2010) A Survey of Evaluation in Music Genre Recognition 43 38. : Aggregate features and Adaboost for music classiﬁcation. Mach. Learn. 65(2–3), 473–484 (2006) 39.
Behav. 29, 336–353 (2001) 59. : Musical genre classiﬁcation using ensemble of classiﬁers. In: Proceedings of the International Conference on Computational Intelligence, Modelling and Simulation, pp. 237–242, Sept 2012 60. : Music genres classiﬁcation using text categorization method. In: Proceedings of the IEEE Workshop on Multimedia Signal Processing, pp. 221–224, Oct 2006 61. : Relevance feedback in an adaptive space with one-class SVM for content-based music retrieval. In: Proceedings of the ICALIP, pp.
E. usage. It would appear that with the possible exception of synthesize, there are no exclusively usage-oriented behaviours in the model. This may suggest that the model is in some senses incomplete, or may simply reﬂect the context in which the data was acquired and the IR-centric processes by which it was analysed. Reducing the ‘scope’ of the model such that modes serve only as descriptors of distilled sense-making activity independent of context (such as the user’s overall goal and the nature of the information assets involved) may help clarify the relationship between acquisition, interaction and usage phases.