Mixture of KL subspaces for relevance feedback.
Annalisa FrancoAlessandra LuminiPublished in: Multim. Tools Appl. (2008)
Keyphrases
- relevance feedback
- mixture model
- information retrieval systems
- query expansion
- image retrieval
- document retrieval
- user feedback
- retrieval model
- feature weighting
- relevant documents
- active learning
- principal component analysis
- pseudo relevance feedback
- kullback leibler
- high dimensional
- feedback information
- high dimensional data
- cbir systems
- query refinement
- retrieval process
- user system interaction
- gaussian distribution
- image search
- low level features
- retrieval effectiveness
- model selection
- expectation maximization
- feature space
- information retrieval
- retrieval accuracy
- lower dimensional
- maximum likelihood
- data points
- subspace clusters
- negative feedback
- machine learning