Yaqiang Yao

activity

20182020

most citedEnsemble Pruning based on Objection Maximization with a General Distributed Framework

56 citations · 73 across the 6 of their papers we have counts for

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Showing 2018Show all

3 papers · 1 filter

cs.LG2018★ 12 cited

Multiple Kernel $k$ -Means Clustering by Selecting Representative Kernels

Yaqiang Yao, Huanhuan Chen

To cluster data that are not linearly separable in the original feature space, $k$ -means clustering was extended to the kernel version. However, the performance of kernel $k$ -means…

cs.CV2018

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…

cs.LG2018★ 56 cited

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…

Multiple Kernel k-Means Clustering by Selecting Representative Kernels

Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches

Ensemble Pruning based on Objection Maximization with a General Distributed Framework

Multiple Kernel $k$ -Means Clustering by Selecting Representative Kernels