19 citations · 43 across the 8 of their papers we have counts for
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cs.CV2017★ 1 cited
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise
Chihao Zhang, Shihua Zhang
Matrix decomposition is a popular and fundamental approach in machine learning and data mining. It has been successfully applied into various fields. Most matrix decomposition meth…
cs.CV2017★ 4 cited
A Unified Joint Matrix Factorization Framework for Data Integration
Lihua Zhang, Shihua Zhang
Nonnegative matrix factorization (NMF) is a powerful tool in data exploratory analysis by discovering the hidden features and part-based patterns from high-dimensional data. NMF an…