Concept learning by fuzzy k-NN classification and relevance feedback for efficient image retrieval.
Hossein Nezamabadi-pourEhsanollah KabirPublished in: Expert Syst. Appl. (2009)
Keyphrases
- concept learning
- knn
- relevance feedback
- k nearest neighbour
- image retrieval
- k nearest neighbor
- classification algorithm
- nearest neighbor
- text classification
- text categorization
- web document classification
- support vector machine
- feature selection
- nearest neighbor algorithm
- nearest neighbour
- feature space
- distance function
- similarity search
- inductive logic programming
- classification accuracy
- active learning
- k nearest
- nearest neighborhood
- imbalanced data sets
- document classification
- machine learning
- nearest neighbor search
- support vector
- voting methods
- information gain
- training samples
- class labels
- neural network
- feature extraction
- data mining
- pattern classification
- retrieval model
- semi supervised learning
- visual features
- learning vector quantization
- probabilistic neural network
- supervised learning
- feature vectors
- decision trees
- information retrieval