1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks
Xiang Wang, Xiaoyong Li, Junxing Zhu +5
Real-world data usually have high dimensionality and it is important to mitigate the curse of dimensionality. High-dimensional data are usually in a coherent structure and make the…
cs.LG2015★ 1 cited
Scalable and Accurate Online Feature Selection for Big Data
Kui Yu, Xindong Wu, Wei Ding +1
Feature selection is important in many big data applications. Two critical challenges closely associate with big data. Firstly, in many big data applications, the dimensionality is…