52 citations · 52 across the 3 of their papers we have counts for
3 papers
stat.ML2023
An information-theoretic learning model based on importance sampling
Jiangshe Zhang, Lizhen Ji, Fei Gao +1
A crucial assumption underlying the most current theory of machine learning is that the training distribution is identical to the test distribution. However, this assumption may no…
stat.ML2023
Information Theoretical Importance Sampling Clustering
Jiangshe Zhang, Lizhen Ji, Meng Wang
A current assumption of most clustering methods is that the training data and future data are taken from the same distribution. However, this assumption may not hold in most real-w…
cs.CV2020★ 52 cited
Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy
Shuang Xu, Lizhen Ji, Zhe Wang +4
Multi-focus image fusion (MFF) is a popular technique to generate an all-in-focus image, where all objects in the scene are sharp. However, existing methods pay little attention to…