Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

Yasunori Nishimori; Shotaro Akaho

doi:10.1016/j.neucom.2004.11.035

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Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

Yasunori Nishimori Shotaro Akaho

Year: 2005 Journal: Neurocomputing Vol: 67 Pages: 106-135 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2004.11.035

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Keywords:

Stiefel manifold Geodesic Manifold (fluid mechanics) Mathematics Subspace topology Nonlinear dimensionality reduction Manifold alignment Invariant manifold Applied mathematics Algorithm Computer science Topology (electrical circuits) Artificial intelligence Pure mathematics Mathematical analysis Dimensionality reduction Combinatorics

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

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Citation History

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