Numerical study of learning algorithms on Stiefel manifold

Takafumi Kanamori; Akiko Takeda

doi:10.1007/s10287-013-0181-7

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Numerical study of learning algorithms on Stiefel manifold

Takafumi Kanamori Akiko Takeda

Year: 2013 Journal: Computational Management Science Vol: 11 (4)Pages: 319-340 Publisher: Springer Science+Business Media

DOI: 10.1007/s10287-013-0181-7

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Keywords:

Stiefel manifold Mathematical optimization Mathematics Proximal Gradient Methods Orthonormality Convex optimization Algorithm Gradient descent Computer science Orthonormal basis Regular polygon Artificial intelligence Artificial neural network

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Gaussian Processes and Bayesian Inference

Physical Sciences → Computer Science → Artificial Intelligence

Numerical study of learning algorithms on Stiefel manifold

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