Partitioning signal classes using transport transforms for data analysis and machine learning

DOI10.1007/s43670-021-00009-zOpenAlexW3162529631MaRDI QIDQ2059801

Gustavo K. Rohde, Shiying Li, Akram Al-Droubi

Publication date: 14 December 2021

Published in: Sampling Theory, Signal Processing, and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2008.03452

zbMATH Keywords

classificationconvexitydata analysismachine learningconvex groupstransport-transforms

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45) General topics in artificial intelligence (68T01)

Related Items (3)

The signed cumulative distribution transform for 1-D signal analysis and classification ⋮ Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning ⋮ Supervised learning of sheared distributions using linearized optimal transport

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