most citedUnsupervised Domain Adaptation via Discriminative Manifold Propagation

100 citations · 143 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020★ 22 cited

Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification

Chuan-Xian Ren, Pengfei Ge, Dao-Qing Dai +1

Conditional Maximum Mean Discrepancy (CMMD) can capture the discrepancy between conditional distributions by drawing support from nonlinear kernel functions, thus it has been succe…

cs.LG2020★ 100 cited

Unsupervised Domain Adaptation via Discriminative Manifold Propagation

You-Wei Luo, Chuan-Xian Ren, Dao-Qing Dai +1

Unsupervised domain adaptation is effective in leveraging rich information from a labeled source domain to an unlabeled target domain. Though deep learning and adversarial strategy…

cs.CV2020★ 17 cited

Discriminative Residual Analysis for Image Set Classification with Posture and Age Variations

Chuan-Xian Ren, You-Wei Luo, Xiao-Lin Xu +2

Image set recognition has been widely applied in many practical problems like real-time video retrieval and image caption tasks. Due to its superior performance, it has grown into…

cs.CV2020★ 4 cited

Domain Adaptation and Image Classification via Deep Conditional Adaptation Network

Pengfei Ge, Chuan-Xian Ren, Dao-Qing Dai +1

Unsupervised domain adaptation aims to generalize the supervised model trained on a source domain to an unlabeled target domain. Marginal distribution alignment of feature spaces i…

stat.ML2019

Orthogonal Nonnegative Tucker Decomposition

Junjun Pan, Michael K. Ng, Ye Liu +2

In this paper, we study the nonnegative tensor data and propose an orthogonal nonnegative Tucker decomposition (ONTD). We discuss some properties of ONTD and develop a convex relax…