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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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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.

Authors

Aihua Zheng

Anhui University


Jixin Ma

University of Greenwich


Jin Tang

Anhui University


Bin Luo

Anhui University


DOI:

10.1609/aaai.v26i1.8413