AAAI Publications, Twenty-Sixth AAAI Conference on Artificial Intelligence

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Matching State-Based Sequences with Rich Temporal Aspects
Aihua Zheng, Jixin Ma, Jin Tang, Bin Luo

Last modified: 2012-07-14

Abstract


A General Similarity Measurement (GSM), which takes into account of both non-temporal and rich temporal aspects including temporal order, temporal duration and temporal gap, is proposed for state-sequence matching. It is believed to be versatile enough to subsume representative existing measurements as its special cases.

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