Chinese Character identification by visual features using self-organizing map sets and relevance feedback.
James S. KirkPublished in: IJCNN (2008)
Keyphrases
- visual features
- self organizing maps
- chinese characters
- image retrieval
- relevance feedback
- image search
- bridge the semantic gap
- cbir systems
- low level features
- image classification
- visual information
- visual content
- chinese character recognition
- neural network
- character recognition
- low level visual features
- keywords
- unsupervised learning
- som neural network
- low level
- image annotation
- input data
- image collections
- semantic concepts
- image database
- k means
- semantic gap
- information retrieval systems
- active learning
- information retrieval
- machine learning
- growing self organizing map
- font recognition
- key frames
- image content
- speech recognition
- model selection
- dimensionality reduction
- semi supervised
- probabilistic model
- feature extraction