3 papers
cs.CV2026
From Volumes to Slices: Computationally Efficient Contrastive Learning for Sequential Abdominal CT Analysis
Po-Kai Chiu, Hung-Hsuan Chen
The requirement for expert annotations limits the effectiveness of deep learning for medical image analysis. Although 3D self-supervised methods like volume contrast learning (VoCo…
cs.LG2025
Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies
Yuan-Chih Yang, Hung-Hsuan Chen
Dropout and DropConnect are well-known techniques that apply a consistent drop rate to randomly deactivate neurons or edges in a neural network layer during training. This paper in…
cs.LG2025
Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures
Yung-Peng Hsu, Hung-Hsuan Chen
Clustering is essential in data analysis and machine learning, but traditional algorithms like -means and Gaussian Mixture Models (GMM) often fail with nonconvex clusters. To ad…