no code implementations • 24 Aug 2020 • Chuan-Xian Ren, PengFei Ge, Dao-Qing Dai, Hong Yan
KLN can simultaneously learn a more expressive kernel and label prediction distribution, thus, it can be used to improve the classification performance in both supervised and semi-supervised learning scenarios.
no code implementations • 23 Aug 2020 • You-Wei Luo, Chuan-Xian Ren, Dao-Qing Dai, Hong Yan
Second, batch-wise training of deep learning limits the characterization of the global structure.
1 code implementation • 23 Aug 2020 • Chuan-Xian Ren, You-Wei Luo, Xiao-Lin Xu, Dao-Qing Dai, Hong Yan
Consequently, the crucial point of image set recognition is to mine the intrinsic connection or structural information from the image batches with variations.
no code implementations • 14 Jun 2020 • Pengfei Ge, Chuan-Xian Ren, Dao-Qing Dai, Hong Yan
In this paper, we consider a more general application scenario where the label distributions of the source and target domains are not the same.