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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 26 / No. 1: Twenty-Sixth AAAI Conference on Artificial Intelligence

Matching State-Based Sequences with Rich Temporal Aspects

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Authors

Aihua Zheng

Anhui University


Jixin Ma

University of Greenwich


Jin Tang

Anhui University


Bin Luo

Anhui University


DOI:

10.1609/aaai.v26i1.8413


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.