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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Book 2004ioned at the inter- section of computer science, discrete mathematics, and artificial intelligence, contains a large variety of interesting topics including machine learning, con- tent management, vision, speech, data mining, content augmentation, profiling, contextual awareness, feature extraction, resource management, security, and privacy.

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Algorithms in Ambient IntelligenceIn this chapter, we discuss the new paradigm for user-centered computing known as ambient intelligence and its relation with methods and techniques from the field of computational intelligence, including problem solving, machine learning, and expert systems.

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https://doi.org/10.1007/978-3-662-37015-5nd crowd noise. The feature sets include low-level signal properties, mel-frequency spectral coefficients, and two new sets based on perceptual models of hearing. The temporal behavior of the features is analyzed and parameterized and these parameters are included as additional features. Using a sta