4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2020
Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior
Yan Zhang, Zhao Zhang, Yang Wang +4
Nonnegative matrix factorization is usually powerful for learning the "shallow" parts-based representation, but it clearly fails to discover deep hierarchical information within bo…
cs.LG2020
A Survey on Concept Factorization: From Shallow to Deep Representation Learning
Zhao Zhang, Yan Zhang, Mingliang Xu +3
The quality of learned features by representation learning determines the performance of learning algorithms and the related application tasks (such as high-dimensional data cluste…
cs.LG2019★ 4 cited
Deep Self-representative Concept Factorization Network for Representation Learning
Yan Zhang, Zhao Zhang, Zheng Zhang +4
In this paper, we investigate the unsupervised deep representation learning issue and technically propose a novel framework called Deep Self-representative Concept Factorization Ne…