1 citations · 2 across the 5 of their papers we have counts for
5 papers
Dense Feature Learning via Linear Structure Preservation in Medical Data
Yuanyun Zhang, Mingxuan Zhang, Siyuan Li +4
Deep learning models for medical data are typically trained using task specific objectives that encourage representations to collapse onto a small number of discriminative directio…
DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization
Haoran Chen, Jiapeng Liu, Jiafan Wang +1
Traditional Partial Least Squares Regression (PLSR) models frequently underperform when handling data characterized by uneven categories. To address the issue, this paper proposes…
Locality Preserving Projections for Grassmann manifold
Boyue Wang, Yongli Hu, Junbin Gao +3
Learning on Grassmann manifold has become popular in many computer vision tasks, with the strong capability to extract discriminative information for imagesets and videos. However,…
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications
Haoran Chen, Yanfeng Sun, Junbin Gao +2
Partial least squares regression (PLSR) has been a popular technique to explore the linear relationship between two datasets. However, most of algorithm implementations of PLSR may…
Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation
Haoran Chen, Yanfeng Sun, Junbin Gao +1
The paper addresses the problem of optimizing a class of composite functions on Riemannian manifolds and a new first order optimization algorithm (FOA) with a fast convergence rate…