Domain Confusion with Self Ensembling for Unsupervised Adaptation

no code implementations • 10 Oct 2018 • Jiawei Wang, Zhaoshui He, Chengjian Feng, Zhouping Zhu, Qinzhuang Lin, Jun Lv, Shengli Xie

Data collection and annotation are time-consuming in machine learning, expecially for large scale problem.

Unsupervised Domain Adaptation

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds

no code implementations • CVPR 2016 • Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie

Sparse subspace clustering (SSC), as one of the most successful subspace clustering methods, has achieved notable clustering accuracy in computer vision tasks.

Clustering