4 citations · 8 across the 2 of their papers we have counts for
5 papers
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…
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…
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
Zhao Zhang, Yan Zhang, Sheng Li +4
Concept Factorization (CF) and its variants may produce inaccurate representation and clustering results due to the sensitivity to noise, hard constraint on the reconstruction erro…
Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation
Zhao Zhang, Yan Zhang, Guangcan Liu +3
Constrained Concept Factorization (CCF) yields the enhanced representation ability over CF by incorporating label information as additional constraints, but it cannot classify and…
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering
Zhao Zhang, Yan Zhang, Sheng Li +3
We investigate the high-dimensional data clustering problem by proposing a novel and unsupervised representation learning model called Robust Flexible Auto-weighted Local-coordinat…