Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning

Takafumi Kanamori; Akiko Takeda

doi:10.1007/978-3-642-34475-6_14

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Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning

Takafumi Kanamori Akiko Takeda

Year: 2012 Lecture notes in computer science Pages: 109-116 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-34475-6_14

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Keywords:

Stiefel manifold Computer science Convexity Manifold alignment Convex optimization Mathematical optimization Optimization problem Regular polygon Artificial intelligence Machine learning Algorithm Nonlinear dimensionality reduction Mathematics Dimensionality reduction

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Sparse and Compressive Sensing Techniques

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Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning

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