Unsupervised Dataset Dictionary Learning for domain shift robust clustering: application to sitting posture identification
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866916809456746496 |
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| author | Hattay, Anas Ayat, Mayara Mboula, Fred Ngole |
| author_facet | Hattay, Anas Ayat, Mayara Mboula, Fred Ngole |
| contents | This paper introduces a novel approach, Unsupervised Dataset Dictionary Learning (U-DaDiL), for totally unsupervised robust clustering applied to sitting posture identification. Traditional methods often lack adaptability to diverse datasets and suffer from domain shift issues. U-DaDiL addresses these challenges by aligning distributions from different datasets using Wasserstein barycenter based representation. Experimental evaluations on the Office31 dataset demonstrate significant improvements in cluster alignment accuracy. This work also presents a promising step for addressing domain shift and robust clustering for unsupervised sitting posture identification |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_19410 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Unsupervised Dataset Dictionary Learning for domain shift robust clustering: application to sitting posture identification Hattay, Anas Ayat, Mayara Mboula, Fred Ngole Artificial Intelligence This paper introduces a novel approach, Unsupervised Dataset Dictionary Learning (U-DaDiL), for totally unsupervised robust clustering applied to sitting posture identification. Traditional methods often lack adaptability to diverse datasets and suffer from domain shift issues. U-DaDiL addresses these challenges by aligning distributions from different datasets using Wasserstein barycenter based representation. Experimental evaluations on the Office31 dataset demonstrate significant improvements in cluster alignment accuracy. This work also presents a promising step for addressing domain shift and robust clustering for unsupervised sitting posture identification |
| title | Unsupervised Dataset Dictionary Learning for domain shift robust clustering: application to sitting posture identification |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2506.19410 |