2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2019★ 1 cited
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
Lei Zhang, Shanshan Wang, Guang-Bin Huang +3
In many practical transfer learning scenarios, the feature distribution is different across the source and target domains (i.e. non-i.i.d.). Maximum mean discrepancy (MMD), as a do…
cs.CV2018★ 2 cited
Dual Asymmetric Deep Hashing Learning
Jinxing Li, Bob Zhang, Guangming Lu +1
Due to the impressive learning power, deep learning has achieved a remarkable performance in supervised hash function learning. In this paper, we propose a novel asymmetric supervi…