1 citations · 3 across the 4 of their papers we have counts for
4 papers
Quantum Bayes Classifiers and Their Application in Image Classification
Ming-Ming Wang, Xiao-Ying Zhang
Bayesian networks are powerful tools for probabilistic analysis and have been widely used in machine learning and data science. Unlike the time-consuming parameter training process…
Push Past Green: Learning to Look Behind Plant Foliage by Moving It
Xiaoyu Zhang, Saurabh Gupta
Autonomous agriculture applications (e.g., inspection, phenotyping, plucking fruits) require manipulating the plant foliage to look behind the leaves and the branches. Partial visi…
Deep Active Learning with Structured Neural Depth Search
Xiaoyun Zhang, Xieyi Ping, Jianwei Zhang
Previous work optimizes traditional active learning (AL) processes with incremental neural network architecture search (Active-iNAS) based on data complexity change, which improves…
An efficient combination strategy for hybird quantum ensemble classifier
Xiao-Ying Zhang, Ming-Ming Wang
Quantum machine learning has shown advantages in many ways compared to classical machine learning. In machine learning, a difficult problem is how to learn a model with high robust…