Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning
With the enhancement of data collection capabilities, massive streaming data have been accumulated in numerous application scenarios. Specifically, the issue of classifying data streams based on mobile sensors can be formalized as a multi-task multi-view learning problem with a specific task compris...
Saved in:
Main Authors: | Jun Wang, Maiwang Shi, Xiao Zhang, Yan Li, Yunsheng Yuan, Chenglei Yang, Dongxiao Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2024-03-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2023.9020006 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BACVC: Bi-adaptive and cross-view consistency for incomplete multi-view subspace clustering
by: Jiaqiyu Zhan, et al.
Published: (2025-04-01) -
Multi-spatial urban function modeling: A multi-modal deep network approach for transfer and multi-task learning
by: Zhaoya Gong, et al.
Published: (2025-02-01) -
Multi-View Prototypical Transport for Unsupervised Domain Adaptation
by: Sunhyeok Lee, et al.
Published: (2025-01-01) -
MM-HiFuse: multi-modal multi-task hierarchical feature fusion for esophagus cancer staging and differentiation classification
by: Xiangzuo Huo, et al.
Published: (2025-01-01) -
MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops
by: Dian Chao, et al.
Published: (2025-02-01)