Low-Rank Transfer Learning for Multi-stream Data Classification
J Sun, H Su, Y Xie, J Li - 2021 11th International Conference on …, 2021 - ieeexplore.ieee.org
Leveraging the labeled data from source stream to handle unlabeled data from target stream
is a promising method for multi-stream classification. However, there are still two main …
is a promising method for multi-stream classification. However, there are still two main …
A domain adaptation approach for multistream classification
In this paper, we formulate cross-domain multistream classification as a domain adaptation
problem. Then we propose a novel algorithm that utilizes low-rank representation and graph …
problem. Then we propose a novel algorithm that utilizes low-rank representation and graph …
A case study for an incremental classifier model in big data
SSBT Lincy, SK Nagarajan - International Journal of Cloud …, 2019 - inderscienceonline.com
Big data is a term that implies enormous voluminous of data which cannot be handled by the
existing traditional systems. With the evolving standards and technologies this volume has …
existing traditional systems. With the evolving standards and technologies this volume has …