Search Results for author: Yaqiang Yao

Found 6 papers, 1 papers with code

Human Activity Recognition based on Dynamic Spatio-Temporal Relations

no code implementations29 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.

Human Activity Recognition

Use Short Isometric Shapelets to Accelerate Binary Time Series Classification

no code implementations27 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.

Classification General Classification +3

Bayesian Optimization with Directionally Constrained Search

no code implementations22 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.

Bayesian Optimization

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

no code implementations1 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.

Human Activity Recognition

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

no code implementations1 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.

Clustering

Ensemble Pruning based on Objection Maximization with a General Distributed Framework

1 code implementation13 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.

Ensemble Learning Ensemble Pruning

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