2 papers
cs.LG2021
Riemannian Manifold Optimization for Discriminant Subspace Learning
Wanguang Yin, Zhengming Ma, Quanying Liu
Linear discriminant analysis (LDA) is a widely used algorithm in machine learning to extract a low-dimensional representation of high-dimensional data, it features to find the orth…
cs.LG2020
Experimental Analysis of Legendre Decomposition in Machine Learning
Jianye Pang, Kai Yi, Wanguang Yin +1
In this technical report, we analyze Legendre decomposition for non-negative tensor in theory and application. In theory, the properties of dual parameters and dually flat manifold…