Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis.
Ayman FarahatFrancine ChenPublished in: EACL (2006)
Keyphrases
- probabilistic latent semantic analysis
- principal component analysis
- negative matrix factorization
- co occurrence
- visual features
- probabilistic model
- latent dirichlet allocation
- latent semantic
- latent semantic analysis
- dimensionality reduction
- topic modeling
- low dimensional
- topic models
- dimension reduction
- scene classification
- feature space
- semi supervised
- singular value decomposition
- image retrieval
- computer vision
- machine learning
- data mining