no code implementations • 9 Aug 2023 • Young-Ching Chou, Shen-Ru Zhang, Bo-Wei Chen, Hong-Qi Chen, Cheng-Kuan Lin, Yu-Chee Tseng
We leverage two off-the-shelf cameras, one on the top of the court and the other on the side of the court.
1 code implementation • 2 Jan 2023 • Tsung-Jung Liu, Bo-Wei Chen, Kuan-Hsien Liu
Image inpainting is an important task in computer vision.
no code implementations • 1 Jul 2020 • Weizhu Qian, Bo-Wei Chen, Yichao Zhang, Guanghui Wen, Franck Gechter
Multi-task learning (MTL) is an important subject in machine learning and artificial intelligence.
no code implementations • 26 May 2019 • Ji Ni, Bo-Wei Chen, Nigel M. Allinson, Xujiong Ye
We validate the model with the real data collected from a group of participants in the UK, and compare it with other popular two-stage hybrid models.
no code implementations • 29 Apr 2019 • Yu Zheng, Yongxin Yang, Bo-Wei Chen
This is one of the very first studies which discuss a methodological framework that incorporates prior financial domain knowledge into neural network architecture design and model training.
no code implementations • 1 Aug 2016 • Bo-Wei Chen
This study presents a rapid multiple incremental and decremental mechanism based on Weight-Error Curves (WECs) for support-vector analysis.
no code implementations • 1 Aug 2016 • Bo-Wei Chen, Nik Nailah Binti Abdullah, Sangoh Park
This study presents an efficient incremental/decremental approach for big streams based on Kernel Ridge Regression (KRR), a frequently used data analysis in cloud centers.
no code implementations • 25 Mar 2016 • Bo-Wei Chen
To deal with these incomplete data, a new kernel function with asymmetric intrinsic mappings is proposed in this study.
no code implementations • 29 Jan 2015 • Qi Guo, Bo-Wei Chen, Feng Jiang, Xiangyang Ji, Sun-Yuan Kung
Firstly, we divide the feature space into several subspaces using the decomposition method proposed in this paper.
no code implementations • 20 May 2014 • Bo-Wei Chen, Shuai Yuan, Jun Wang
From the experiments we find that, in a less competitive market, lower prices of the guaranteed contracts will encourage the purchase in advance and the revenue gain is mainly contributed by the increased competition in future RTB.
Computer Science and Game Theory