Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition | Zendy

Zhen Dong | Zendy; Su Jia | Zendy; Chi Zhang | Zendy; Mingtao Pei | Zendy; Yuwei Wu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition

Author(s) -

Zhen Dong,

Su Jia,

Chi Zhang,

Mingtao Pei,

Yuwei Wu

Publication year - 2017

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v31i1.11232

Subject(s) - positive definite matrix , manifold (fluid mechanics) , stacking , deep learning , curse of dimensionality , artificial intelligence , pattern recognition (psychology) , construct (python library) , artificial neural network , layer (electronics) , computer science , zero (linguistics) , symmetric matrix , face (sociological concept) , facial recognition system , pure mathematics , mathematics , physics , eigenvalues and eigenvectors , engineering , materials science , mechanical engineering , social science , nuclear magnetic resonance , quantum mechanics , sociology , composite material , linguistics , philosophy , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research