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08/24/2023
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment
While large volumes of unlabeled data are usually available, associated ...
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02/10/2020
Time Series Alignment with Global Invariances
In this work we address the problem of comparing time series while takin...
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08/27/2019
Early Classification for Agricultural Monitoring from Satellite Time Series
In this work, we introduce a recently developed early classification mec...
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06/03/2019
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization
Times series classification can be successfully tackled by jointly learn...
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05/24/2019
Sliced Gromov-Wasserstein
Recently used in various machine learning contexts, the Gromov-Wasserste...
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01/30/2019
End-to-end Learning for Early Classification of Time Series
Classification of time series is a topical issue in machine learning. Wh...
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11/07/2018
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
Optimal transport theory has recently found many applications in machine...
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09/18/2018
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers
A family of algorithms for time series classification (TSC) involve runn...
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05/23/2018
Optimal Transport for structured data
Optimal transport has recently gained a lot of interest in the machine l...
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02/18/2011
Searching in one billion vectors: re-rank with source coding
Recent indexing techniques inspired by source coding have been shown suc...
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09/21/2010