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A Temporal Difference and Cross-variate Fusion Network for Multivariate Time Series Classification

2024-04-04

Abstract excerpt

Multivariate Time Series Classification (MTSC) is one of most important tasks in time series analysis, aiding in activities such as human motion recognition and medical diagnostics. Existing methods for MTSC do not explicitly model temporal differences and generalize the idea of temporal difference into a efficient temporal module. Additionally, existing methods are not yet able to capture cross-variable relations...

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Literature Corpus work
f48f6cb0-2026-5ecc-b966-02655767434b
DOI
10.20944/preprints202404.0375.v1
Open publication

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A Temporal Difference and Cross-variate Fusion Network for Multivariate Time Series ClassificationDOI 10.20944/preprints202404.0375.v1
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