Matching State-Based Sequences with Rich Temporal Aspects
Zheng, Aihua (Anhui University) | Ma, Jixin (University of Greenwich) | Tang, Jin (Anhui University) | Luo, Bin (Anhui University)
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.
Jul-21-2012
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