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cs.LG2026
Dual-Learning based Penalized Multi-Align Clustering for Multi-View Incomplete and Disorderly Data
Liang Zhao, Shubin Ma, Bo Xu +1
Multimodal feature fusion can effectively capture complex patterns in real-world data by integrating complementary information from different modalities. However, in many applicati…
cs.LG2025
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search
Shubin Ma, Liang Zhao, Mingdong Lu +2
Multimodal representation is faithful and highly effective in describing real-world data samples' characteristics by describing their complementary information. However, the collec…