no code implementations • 29 Jun 2020 • Zhenyu Liu, Yaqiang Yao, Yan Liu, Yuening Zhu, Zhenchao Tao, Lei Wang, Yuhong Feng
In the proposed method, an activity is divided into several successive actions represented by spatio temporal patterns, and the evolution of these actions are captured by a sequential model.
no code implementations • 27 Dec 2019 • Weibo Shu, Yaqiang Yao, Shengfei Lyu, Jinlong Li, Huanhuan Chen
In the research area of time series classification, the ensemble shapelet transform algorithm is one of state-of-the-art algorithms for classification.
no code implementations • 22 Jun 2019 • Yang Li, Yaqiang Yao
This constraint demands an optimizer to be aware of its remaining budget and able to spend it wisely, in order to return as better a point as possible.
no code implementations • 1 Nov 2018 • Yaqiang Yao, Yan Liu, Huanhuan Chen
In this paper, we first design an efficient division method to decompose a manifold into ordered continuous maximal linear patches (CMLPs) that denote meaningful action snippets of the action sequence.
no code implementations • 1 Nov 2018 • Yaqiang Yao, Huanhuan Chen
Despite the success of multiple kernel $k$-means clustering in various scenarios, few of the existing work update the combination coefficients based on the diversity of kernels, which leads to the result that the selected kernels contain high redundancy and would degrade the clustering performance and efficiency.
1 code implementation • 13 Jun 2018 • Yijun Bian, Yijun Wang, Yaqiang Yao, Huanhuan Chen
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.