Dual subspace learning via geodesic search on Stiefel manifold

Lijun Liu; Rendong Ge; Jiana Meng; You Guang-jie

doi:10.1007/s13042-013-0217-x

ScienceGate Book Chapters

JOURNAL ARTICLE

Dual subspace learning via geodesic search on Stiefel manifold

Lijun Liu Rendong Ge Jiana Meng You Guang-jie

Year: 2013 Journal: International Journal of Machine Learning and Cybernetics Vol: 5 (5)Pages: 753-759 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-013-0217-x

Get Full-Text PDF Get Analytical Report

Keywords:

Stiefel manifold Subspace topology Geodesic Manifold (fluid mechanics) Mathematics Principal component analysis Minor (academic) Algorithm Stability (learning theory) Dimensionality reduction Artificial intelligence Pattern recognition (psychology) Computer science Machine learning Mathematical analysis Pure mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.08

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

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

Dual subspace learning via geodesic search on Stiefel manifold

Metrics

Citation History

Topics

Related Documents

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

Geodesic Multi-Class SVM with Stiefel Manifold Embedding

A Stable Dual Purpose Adaptive Algorithm for Subspace Tracking on Noncompact Stiefel Manifold

Volume of geodesic balls in the real Stiefel manifold

Volume of geodesic balls in the complex Stiefel manifold