Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering.
Wonjik KimAsako KanezakiMasayuki TanakaPublished in: CoRR (2020)
Keyphrases
- unsupervised learning
- image segmentation
- expectation maximization
- data clustering
- cluster analysis
- supervised learning
- spectral clustering
- self organizing maps
- k means
- unsupervised clustering
- clustering algorithm
- clustering method
- markov random field
- semi supervised
- multiscale
- machine learning
- deep learning
- active contours
- minimum message length
- data sets
- object recognition
- energy function
- segmentation method
- method for image segmentation
- fuzzy c means clustering
- feature vectors
- region growing
- segmented regions
- model selection
- normalized cut
- categorical data
- simultaneous clustering
- feature selection
- region merging
- pattern recognition
- feature maps
- fuzzy c means
- image features
- dimensionality reduction
- feature set
- graph cuts