Probabilistic Relevance Feedback with Binary Semantic Feature Vectors.
David LiuTsuhan ChenPublished in: ICASSP (2) (2005)
Keyphrases
- feature vectors
- relevance feedback
- low level features
- sparck jones
- latent semantic
- information retrieval systems
- similarity measure
- image retrieval
- probabilistic model
- query expansion
- euclidean distance
- user feedback
- semantic similarity
- semantic information
- semantic web
- generative model
- domain specific
- face images
- image features
- document retrieval
- bayesian networks
- feature space
- natural language
- learning algorithm
- low level visual features
- feedback information
- retrieval framework
- image search
- uncertain data
- semantic network
- gaussian mixture model
- information retrieval
- retrieval model
- rotation invariant
- semantic features
- relevant documents
- image processing
- negative feedback
- high dimensional feature vectors
- active learning