100 citations · 202 across the 5 of their papers we have counts for
5 papers
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…
Dual Adversarial Auto-Encoders for Clustering
Pengfei Ge, Chuan-Xian Ren, Jiashi Feng +1
As a powerful approach for exploratory data analysis, unsupervised clustering is a fundamental task in computer vision and pattern recognition. Many clustering algorithms have been…
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…
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…
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…