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08/17/2022
A Survey on Incomplete Multi-view Clustering
Conventional multi-view clustering seeks to partition data into respecti...
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08/05/2022
Localized Sparse Incomplete Multi-view Clustering
Incomplete multi-view clustering, which aims to solve the clustering pro...
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04/17/2022
Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification
In this paper, we propose a Global-Supervised Contrastive loss and a vie...
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12/23/2020
Vehicle Re-identification Based on Dual Distance Center Loss
Recently, deep learning has been widely used in the field of vehicle re-...
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01/03/2019
Adaptive Locality Preserving Regression
This paper proposes a novel discriminative regression method, called ada...
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09/17/2018