✨Learning Eigenstructures of Unstructured Data Manifolds
📝 Summary:
This deep learning framework learns spectral bases directly from unstructured data, eliminating traditional operator selection and eigendecomposition. It provides a data-driven alternative for geometry processing, recovering spectral bases and eigenvalues unsupervised without explicit operator co...
🔹 Publication Date: Published on Nov 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.01103
• PDF: https://arxiv.org/pdf/2512.01103
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For more data science resources:
✓ https://t.me/DataScienceT
#DeepLearning #DataScience #ManifoldLearning #GeometryProcessing #UnsupervisedLearning
📝 Summary:
This deep learning framework learns spectral bases directly from unstructured data, eliminating traditional operator selection and eigendecomposition. It provides a data-driven alternative for geometry processing, recovering spectral bases and eigenvalues unsupervised without explicit operator co...
🔹 Publication Date: Published on Nov 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.01103
• PDF: https://arxiv.org/pdf/2512.01103
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#DeepLearning #DataScience #ManifoldLearning #GeometryProcessing #UnsupervisedLearning