Semi-supervised subspace learning for pattern classification via robust low rank constraint

[PDF] ieee.org

Feature selection embedded robust K-means

Q Zhang, C Peng - Ieee Access, 2020 - ieeexplore.ieee.org
Clustering is one of the most important unsupervised learning problems in machine
learning. As one of the most widely used clustering algorithms, K-means has been studied …
被引用次数：5 相关文章 所有 3 个版本
[PDF] wiley.comFull View

Bio‐Inspired Structure Representation Based Cross‐View Discriminative Subspace Learning via Simultaneous Local and Global Alignment

A Li, Y Ding, X Zheng, D Chen, G Sun, K Lin - Complexity, 2020 - Wiley Online Library
Recently, cross‐view feature learning has been a hot topic in machine learning due to the
wide applications of multiview data. Nevertheless, the distribution discrepancy between …
被引用次数：1 相关文章 所有 9 个版本
[PDF] springer.com

Recent Progress on the Intelligent Computing for Multimodal Information

T Zhu, S Liu - Mobile Networks and Applications, 2020 - Springer
The world is coming to the intelligent era, and intelligent computing is now applied in almost
all research domains today [1, 2]. Multimodal information, which is a set of information to …
被引用次数：1 相关文章 所有 4 个版本