4.4k citations · 24.2k across the 344 of their papers we have counts for
43 papers · 1 filter
Learning Student Networks via Feature Embedding
Hanting Chen, Yunhe Wang, Chang Xu +2
Deep convolutional neural networks have been widely used in numerous applications, but their demanding storage and computational resource requirements prevent their applications on…
Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling
Peng Zhang, Shujian Yu, Jiamiao Xu +4
It remains a huge challenge to design effective and efficient trackers under complex scenarios, including occlusions, illumination changes and pose variations. To cope with this pr…
Transfer Metric Learning: Algorithms, Applications and Outlooks
Yong Luo, Yonggang Wen, Ling-Yu Duan +1
Distance metric learning (DML) aims to find an appropriate way to reveal the underlying data relationship. It is critical in many machine learning, pattern recognition and data min…
Generalization Bounds for Vicinal Risk Minimization Principle
Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao
The vicinal risk minimization (VRM) principle, first proposed by \citet{vapnik1999nature}, is an empirical risk minimization (ERM) variant that replaces Dirac masses with vicinal f…
An Optimal Transport View on Generalization
Jingwei Zhang, Tongliang Liu, Dacheng Tao
We derive upper bounds on the generalization error of learning algorithms based on their \emph{algorithmic transport cost}: the expected Wasserstein distance between the output hyp…
Fast Efficient Object Detection Using Selective Attention
Shivanthan Yohanandan, Andy Song, Adrian G. Dyer +3
Retraction due to significant oversight