1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2024
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution
Wenting Chen, Jie Liu, Tommy W. S. Chow +1
Pathology image are essential for accurately interpreting lesion cells in cytopathology screening, but acquiring high-resolution digital slides requires specialized equipment and l…
cs.IR2023★ 5 cited
Collaborative Residual Metric Learning
Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
In collaborative filtering, distance metric learning has been applied to matrix factorization techniques with promising results. However, matrix factorization lacks the ability of…
stat.ML2014★ 1 cited
Mutual Information-Based Unsupervised Feature Transformation for Heterogeneous Feature Subset Selection
Min Wei, Tommy W. S. Chow, Rosa H. M. Chan
Conventional mutual information (MI) based feature selection (FS) methods are unable to handle heterogeneous feature subset selection properly because of data format differences or…