Mixed region covariance discriminative learning for image classification on Riemannian manifolds

DOI10.1155/2019/1261398zbMath1435.94032OpenAlexW2917977404WikidataQ115243922 ScholiaQ115243922MaRDI QIDQ2298024

Guo Niu, Zhengming Ma, Xi Liu

Publication date: 20 February 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/1261398

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Differential geometry of symmetric spaces (53C35)

Uses Software

• SIFT
• COIL-20

Cites Work

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• Multivariate normal distributions parametrized as a Riemannian symmetric space
• A Riemannian framework for tensor computing
• Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking
• Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets
• Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker

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