Locality preserving projection on SPD matrix Lie group: algorithm and analysis

Abstract

Symmetric positive definite (SPD) matrices used as feature descriptors in image recognition are usually high dimensional. Traditional manifold learning is only applicable for reducing the dimension of high-dimensional vector-form data. For high-dimensional SPD matrices, directly using manifold learning algorithms to reduce the dimension of matrix-form data… (More)
DOI: 10.1007/s11432-017-9233-4

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