18 citations · 20 across the 6 of their papers we have counts for
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cs.LG2020
Multi-view Low-rank Preserving Embedding: A Novel Method for Multi-view Representation
Xiangzhu Meng, Lin Feng, Huibing Wang
In recent years, we have witnessed a surge of interest in multi-view representation learning, which is concerned with the problem of learning representations of multi-view data. Wh…
cs.LG2019★ 1 cited
The Similarity-Consensus Regularized Multi-view Learning for Dimension Reduction
Xiangzhu Meng, Huibing Wang, Lin Feng
During the last decades, learning a low-dimensional space with discriminative information for dimension reduction (DR) has gained a surge of interest. However, it's not accessible…
cs.LG2019★ 1 cited
Multi-view Locality Low-rank Embedding for Dimension Reduction
Lin Feng, Xiangzhu Meng, Huibing Wang
During the last decades, we have witnessed a surge of interests of learning a low-dimensional space with discriminative information from one single view. Even though most of them c…