Learning in Riemannian Orbifolds

Details Learning in Riemannian Orbifolds Learning in Riemannian Orbifolds

2012-04-19

arxiv.org/abs/1204.4294v1

Computer Science

Learning

arXiv admin note: substantial text overlap with arXiv:1001.0921

Scientific paper

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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