no code implementations • 26 Apr 2022 • Guangyang Han, Sufang Li, Runmin Wang, Chunming Wu
Thus, we first score workers' ability mainly on the medium difficult tasks, then reducing the weight of answers from sloppy workers and modifying the answers from spammers when inferring the tasks' ground truth.
no code implementations • 7 Nov 2021 • Runmin Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Due to the lack of training samples in the tail classes, MetaCMH first learns direct features from data in different modalities, and then introduces an associative memory module to learn the memory features of samples of the tail classes.
no code implementations • 7 Nov 2021 • Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
Cross-modal hashing (CMH) is one of the most promising methods in cross-modal approximate nearest neighbor search.
no code implementations • 29 Jan 2021 • Yangfan Zhang, Runmin Wang, Xiaofeng Shao
In this article, we propose a class of test statistics for a change point in the mean of high-dimensional independent data.
Methodology