Fast Multi-Label Low-Rank Linearized SVM Classification Algorithm Based on Approximate Extreme Points

Fast Multi-Label Low-Rank Linearized SVM Classification Algorithm Based on Approximate Extreme Points

To solve the problem that traditional multi-label support vector machine (SVM) classification algorithm adopting nonlinear kernel has been severely restricted from being used on large-scale data sets, we propose fast multi-label low-rank-linearized SVM classification algorithm based on approximate e...

Full description

Bibliographic Details
Main Authors: Zhongwei Sun, Keyong Hu, Tong Hu, Jing Liu, Kai Zhu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Approximate extreme points
low-rank linearized SVM
multi-label classification
support vector machine
Online Access:https://ieeexplore.ieee.org/document/8423067/

Internet

https://ieeexplore.ieee.org/document/8423067/

Similar Items