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洞見 - Manifold Learning
Curvature Augmented Manifold Embedding and Learning: A Comprehensive Study
Proposing the Curvature-Augmented Manifold Embedding and Learning (CAMEL) method as a novel approach to dimensional reduction and data visualization.
Semi-Supervised Manifold Learning Using Chart Autoencoders with Decoupled Complexity
This paper introduces a novel chart autoencoder architecture for semi-supervised manifold learning that leverages asymmetric encoding-decoding processes and incorporates label information to effectively represent complex topological structures and functions on manifolds.
