| Document Date: 2009-08-10 10:41:29
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City Washington / DC / Orlando / San Francisco / Istanbul / Information Criterion / Beijing / Melbourne / Baltimore / / Country Turkey / United States / China / / Currency USD / / Event Man-Made Disaster / / Facility To bridge / Tsinghua University / / IndustryTerm proposed co-clustering algorithm / short-time energy / applause car-crash / content-based multimedia applications / siren speech plane car-racing / iterative co-clustering algorithm / co-clustering algorithm / context-aware computing / car-racing / local search strategy / multimedia applications / above co-clustering algorithm / / NaturalFeature Audio Stream / / Organization American Statistical Association / Department of Computer Science and Technology / Vol.90 / Tsinghua University / Beijing / Stanford / / Person Rui Cai / Lian-Hong Cai / / Position first author / / ProgrammingLanguage FL / DC / / PublishedMedium Machine Learning / Journal of the American Statistical Association / / Technology InformationTheoretic Co-Clustering algorithm / K-means algorithm / X-means clustering algorithm / proposed algorithm / coclustering algorithm / sliding windows / X-means algorithm / above co-clustering algorithm / co-clustering algorithm / iterative co-clustering algorithm / Data Mining / Xmeans algorithm / proposed co-clustering algorithm / Machine Learning / Information-Theoretic Co-Clustering algorithm / two algorithms / /
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➠ ➡ UNSUPERVISED AUDITORY SCENE CATEGORIZATION VIA KEY AUDIO EFFECTS AND INFORMATION-THEORETIC CO-CLUSTERING Rui Cai†*, Lie Lu‡, and Lian-Hong Cai†