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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From Stereotypes to Personal Profiles Via Viewer FeedbackOne of the thorny problems facing a recommender system is that of a .: how does one capture the user preferences quickly and effectively and provide user-specific personalization? To address the cold start problem, we propose a stereotype-enabled personalization framework that transforms a user’s TV

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Cubyhum: Algorithms for Query by Humming database of known melodies. In short, it tries to detect the pitches in a sung melody and compares these pitches with symbolic representations of the known melodies. Melodies that are similar to the sung pitches are retrieved. Approximate pattern matching in the melody comparison process compensate

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Personalized Multimedia Summarizationtial part of intelligent behavior of the consumer devices..We introduce the notion of video summarization, and provide definitions of the different flavors of summaries: Video skim, highlights, and structured multimedia summary. We present different features and methods for automatic video content a

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Exchange Clustering and Em Algorithm for Phrase Classification in Telephony Applicationsialogue applications. The presented algorithms are based on exchange clustering with a word-error like criterion and on the expectation-maximization algorithm, respectively, and work on annotated training texts. The methods are applied to the Philips TABA corpus of train timetable enquiries, and the

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