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Titlebook: Algorithms in Ambient Intelligence; Wim F. J. Verhaegh,Emile Aarts,Jan Korst Book 2004 Springer Science+Business Media Dordrecht 2004 Audi

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發(fā)表于 2025-3-23 10:36:45 | 只看該作者
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發(fā)表于 2025-3-23 14:05:36 | 只看該作者
Methods to Optimally Trade Bandwidth Against Buffer Size for a VBR Streamow to minimize the required buffer size given the available bandwidth [Feng, 1997] and how to minimize the required bandwidth given the available buffer size [Salehi et al., 1998]. Instead of taking either bandwidth or buffer size fixed, we assume both to be decision variables with given cost coeffi
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發(fā)表于 2025-3-23 19:56:59 | 只看該作者
Dynamic Control of Scalable Media Processing Applicationsse realtime requirements can be met by means of a worst-case resource allocation, but this is often not cost-effective. To assign resources closer to the average-case load situation, scalable media processing may be applied. A scalable media processing application allows a trade-off between the reso
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發(fā)表于 2025-3-24 00:55:37 | 只看該作者
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發(fā)表于 2025-3-24 02:45:17 | 只看該作者
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發(fā)表于 2025-3-24 09:22:22 | 只看該作者
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發(fā)表于 2025-3-24 12:04:43 | 只看該作者
https://doi.org/10.1007/978-3-662-06553-2framework. This paper presents the algorithms for pitch detection, note onset detection, quantisation, melody encoding and approximate pattern matching as they have been implemented in the CubyHum software system.
18#
發(fā)表于 2025-3-24 16:06:54 | 只看該作者
Cubyhum: Algorithms for Query by Hummingframework. This paper presents the algorithms for pitch detection, note onset detection, quantisation, melody encoding and approximate pattern matching as they have been implemented in the CubyHum software system.
19#
發(fā)表于 2025-3-24 19:22:57 | 只看該作者
20#
發(fā)表于 2025-3-25 02:04:26 | 只看該作者
https://doi.org/10.1007/978-3-662-37015-5ndard Gaussian framework for classification, results show that the temporal behavior of features is important for automatic audio classification. In addition, classification is better, on average, if based on features from models of auditory perception rather than on standard features.
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