Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering.
Wonjik KimAsako KanezakiMasayuki TanakaPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- unsupervised learning
- image segmentation
- data clustering
- supervised learning
- expectation maximization
- spectral clustering
- cluster analysis
- semi supervised
- clustering method
- self organizing maps
- machine learning
- minimum message length
- region growing
- information theoretic
- image features
- k means
- objective function
- dimensionality reduction
- clustering algorithm
- object recognition
- deformable models
- graph partitioning
- fuzzy c means
- feature selection
- multiscale
- deep learning
- neural network
- fuzzy c means clustering
- text classification
- medical images
- markov random field
- criterion function
- contour detection
- unsupervised clustering
- feature maps
- active contours
- fuzzy clustering
- hierarchical clustering
- outlier detection
- gray level
- model selection
- pattern recognition
- data mining