Now showing items 11-20 of 63
Learning Multimodal Latent Attributes
On-the-fly feature importance mining for person re-identification
State-of-the-art person re-identification methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with generic weights, which are assumed to be universally ...
Imbalanced Deep Learning by Minority Class Incremental Rectification
IEEE Model learning from class imbalanced training data is a long-standing and significant challenge for machine learning. In particular, existing deep learning methods consider mostly either class balanced data or moderately ...