Collaborative Self-Regression Method With Nonlinear Feature Based on Multi-Task Learning for Image Classification

Collaborative Self-Regression Method With Nonlinear Feature Based on Multi-Task Learning for Image Classification

Multi-task learning has received great interest recently in the area of machine learning. It shows a considerable capacity to jointly learn multiple latent relationships hidden among tasks, and has been widely used in data mining and computer vision problems. In this paper, we propose a new multi-ta...

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Bibliographic Details
Main Authors: Ao Li, Zhiqiang Wu, Huaiyin Lu, Deyun Chen, Guanglu Sun
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Linear regression
multi-task learning
image classification
nonlinear feature
numerical optimization
Online Access:https://ieeexplore.ieee.org/document/8424144/

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