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cs.CV2021
Locality Relationship Constrained Multi-view Clustering Framework
Xiangzhu Meng, Wei Wei, Wenzhe Liu
In most practical applications, it's common to utilize multiple features from different views to represent one object. Among these works, multi-view subspace-based clustering has g…
cs.LG2021
A unified framework based on graph consensus term for multi-view learning
Xiangzhu Meng, Lin Feng, Chonghui Guo
In recent years, multi-view learning technologies for various applications have attracted a surge of interest. Due to more compatible and complementary information from multiple vi…
cs.LG2021
Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss
Huiyuan Deng, Xiangzhu Meng, Lin Feng
In recent years, we have witnessed a surge of interests in learning a suitable distance metric from weakly supervised data. Most existing methods aim to pull all the similar sample…