332 citations · 433 across the 20 of their papers we have counts for
5 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…
Kernel Alignment Inspired Linear Discriminant Analysis
Shuai Zheng, Chris Ding
Kernel alignment measures the degree of similarity between two kernels. In this paper, inspired from kernel alignment, we propose a new Linear Discriminant Analysis (LDA) formulati…
Accelerating Deep Learning with Shrinkage and Recall
Shuai Zheng, Abhinav Vishnu, Chris Ding
Deep Learning is a very powerful machine learning model. Deep Learning trains a large number of parameters for multiple layers and is very slow when data is in large scale and the…
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…