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arXiv · 1204.4294

Learning in Riemannian Orbifolds

Brijnesh J. Jain·Klaus Obermayer
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Abstract

Learning in Riemannian orbifolds is motivated by existing machine learning algorithms that directly operate on finite combinatorial structures such as point patterns, trees, and graphs. These methods, however, lack statistical justification. This contribution derives consistency results for learning problems in structured domains and thereby generalizes learning in vector spaces and manifolds.

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Brijnesh J. Jain, Klaus Obermayer. 2012-04-19. Learning in Riemannian Orbifolds. https://arxiv.org/abs/1204.4294

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