A semi-supervised probabilistic model for clustering large databases of complex images.
S. Nisha ChandranDurgaprasad GangodkarAnkush MittalPublished in: Multim. Tools Appl. (2017)
Keyphrases
- probabilistic model
- semi supervised
- image data
- image database
- image features
- ground truth
- clustering algorithm
- segmentation method
- image analysis
- image retrieval
- test images
- three dimensional
- edge detection
- image collections
- image classification
- lighting conditions
- region of interest
- image regions
- databases
- clustering method
- semi supervised learning
- rigid body
- image registration
- bayesian networks
- object recognition
- similarity measure
- image matching
- k means
- instance level constraints
- unsupervised learning
- multi view
- training set