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• W2144250381 abstract "This paper deals with the issue of gradual classification of a multivariate sequence where the number of candidate time-series generators is significantly high. It proposes a prediction scheme that consists of two components: a hierarchical structure which organizes the time-series models and a decision maker tool that assigns and evolves a respective hierarchy of probabilities; the latter expresses the current beliefs as to what the best model is for every hierarchical level. Experimentation in the domain of video-based human action recognition exhibits the capacity of the proposed approach to achieve efficient knowledge representation and real-time performance." @default.
• W2144250381 created "2016-06-24" @default.
• W2144250381 creator A5034706587 @default.
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• W2144250381 date "2010-07-01" @default.
• W2144250381 modified "2023-10-18" @default.
• W2144250381 title "A hierarchical predictive scheme for incremental time-series classification" @default.
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• W2144250381 doi "https://doi.org/10.1109/ijcnn.2010.5596703" @default.
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