Latent Topic Refinement based on Distance Metric Learning and Semantics-assisted Non-negative Matrix Factorization.
Tran Binh DangHa-Thanh NguyenLe-Minh NguyenPublished in: PACLIC (2020)
Keyphrases
- negative matrix factorization
- latent topics
- metric learning
- matrix factorization
- distance metric
- topic models
- sparse representation
- document clustering
- spectral clustering
- principal component analysis
- latent dirichlet allocation
- topic modeling
- text documents
- generative model
- text categorization
- clustering algorithm
- distance measure
- feature vectors
- face recognition