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• W2166819472 abstract "In this paper we propose a novel and efficient method for solving queries by sketch in traffic scenarios, aiming to find the k nearest neighbor trajectories to the one hand drawn by the human operator. Each trajectory is represented as a sequence of symbols, namely a string, and it is stored into a k-d tree by taking into account the similarity between trajectories, evaluated by a global fast alignment kernel. The experimentation has been conducted over the standard MIT trajectories dataset and results confirm the effectiveness and the robustness of the proposed approach." @default.
• W2166819472 created "2016-06-24" @default.
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• W2166819472 date "2014-08-01" @default.
• W2166819472 modified "2023-09-25" @default.
• W2166819472 title "A reliable string kernel based approach for solving queries by sketch" @default.
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• W2166819472 doi "https://doi.org/10.1109/avss.2014.6918700" @default.
• W2166819472 hasPublicationYear "2014" @default.
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