4 citations · 14 across the 16 of their papers we have counts for
4 papers · 2 filters
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification
Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen +1
In image set classification, a considerable progress has been made by representing original image sets on Grassmann manifolds. In order to extend the advantages of the Euclidean ba…
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification
Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang +1
In the domain of pattern recognition, using the CovDs (Covariance Descriptors) to represent data and taking the metrics of the resulting Riemannian manifold into account have been…
Multiple Manifolds Metric Learning with Application to Image Set Classification
Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen +1
In image set classification, a considerable advance has been made by modeling the original image sets by second order statistics or linear subspace, which typically lie on the Riem…
A Simple Riemannian Manifold Network for Image Set Classification
Rui Wang, Xiao-Jun Wu, Josef Kittler
In the domain of image-set based classification, a considerable advance has been made by representing original image sets as covariance matrices which typical lie in a Riemannian m…