Exploiting graph regularized nonnegative matrix factorization for extractive speech summarization.
Shih-Hung LiuKuan-Yu ChenYu-Lun HsiehBerlin ChenHsin-Min WangHsu-Chun YenWen-Lian HsuPublished in: APSIPA (2016)
Keyphrases
- nonnegative matrix factorization
- summary generation
- least squares
- multi document summarization
- text summarization
- automatic summarization
- extractive summarization
- negative matrix factorization
- sparsity constraints
- probabilistic latent semantic indexing
- topic segmentation
- matrix factorization
- data representation
- document clustering
- nonnegative matrix
- document summarization
- spectral clustering
- principal component analysis
- face recognition
- feature selection
- signal processing
- natural language processing
- objective function
- multidocument summarization