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cs.LG2019
Multi-view Subspace Clustering via Partition Fusion
Juncheng Lv, Zhao Kang, Boyu Wang +2
Multi-view clustering is an important approach to analyze multi-view data in an unsupervised way. Among various methods, the multi-view subspace clustering approach has gained incr…
cs.LG2019★ 1 cited
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images
Xinyi Huang, Suphanut Jamonnak, Ye Zhao +4
This extended abstract presents a visualization system, which is designed for domain scientists to visually understand their deep learning model of extracting multiple attributes i…