89 citations · 252 across the 18 of their papers we have counts for
4 papers · 1 filter
Multiple Kernel -Means Clustering by Selecting Representative Kernels
Yaqiang Yao, Huanhuan Chen
To cluster data that are not linearly separable in the original feature space, -means clustering was extended to the kernel version. However, the performance of kernel -means…
Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches
Yaqiang Yao, Yan Liu, Huanhuan Chen
Human activity recognition has drawn considerable attention recently in the field of computer vision due to the development of commodity depth cameras, by which the human activity…
Ensemble Pruning based on Objection Maximization with a General Distributed Framework
Yijun Bian, Yijun Wang, Yaqiang Yao +1
Ensemble pruning, selecting a subset of individual learners from an original ensemble, alleviates the deficiencies of ensemble learning on the cost of time and space. Accuracy and…
Disturbance Grassmann Kernels for Subspace-Based Learning
Junyuan Hong, Huanhuan Chen, Feng Lin
In this paper, we focus on subspace-based learning problems, where data elements are linear subspaces instead of vectors. To handle this kind of data, Grassmann kernels were propos…