219 citations · 904 across the 50 of their papers we have counts for
4 papers · 1 filter
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification
Shuai Zheng, Feiping Nie, Chris Ding +1
Linear Discriminant Analysis (LDA) is a widely-used supervised dimensionality reduction method in computer vision and pattern recognition. In null space based LDA (NLDA), a well-kn…
A Closed Form Solution to Multi-View Low-Rank Regression
Shuai Zheng, Xiao Cai, Chris Ding +2
Real life data often includes information from different channels. For example, in computer vision, we can describe an image using different image features, such as pixel intensity…
Uncovering Locally Discriminative Structure for Feature Analysis
Sen Wang, Feiping Nie, Xiaojun Chang +3
Manifold structure learning is often used to exploit geometric information among data in semi-supervised feature learning algorithms. In this paper, we find that local discriminati…
Non-Greedy L21-Norm Maximization for Principal Component Analysis
Feiping Nie, Heng Huang
Principal Component Analysis (PCA) is one of the most important unsupervised methods to handle high-dimensional data. However, due to the high computational complexity of its eigen…