2 citations · 2 across the 2 of their papers we have counts for
3 papers
quant-ph2021
Quantum classifiers for domain adaptation
Xi He, Feiyu Du, Mingyuan Xue +3
Transfer learning (TL), a crucial subfield of machine learning, aims to accomplish a task in the target domain with the acquired knowledge of the source domain. Specifically, effec…
q-bio.NC2019★ 2 cited
Optimal Number of Clusters by Measuring Similarity among Topographies for Spatio-temporal ERP Analysis
Reza Mahini, Peng Xu, Guoliang Chen +6
Averaging amplitudes over consecutive time samples within a time-window is widely used to calculate the amplitude of an event-related potential (ERP) for cognitive neuroscience. Ob…
cs.CV2019
Adaptive Morphological Reconstruction for Seeded Image Segmentation
Tao Lei, Xiaohong Jia, Tongliang Liu +3
Morphological reconstruction (MR) is often employed by seeded image segmentation algorithms such as watershed transform and power watershed as it is able to filter seeds (regional…