Deep clustering: Discriminative embeddings for segmentation and separation.
John R. HersheyZhuo ChenJonathan Le RouxShinji WatanabePublished in: ICASSP (2016)
Keyphrases
- unsupervised learning
- clustering algorithm
- image segmentation
- level set
- clustering method
- segmentation algorithm
- categorical data
- k means
- medical images
- information theoretic
- fully automatic
- data points
- unsupervised clustering
- segmentation method
- object segmentation
- region growing
- discriminative features
- crf model
- cluster analysis
- feature selection
- image segmentations
- self organizing maps
- object recognition
- multiscale
- conditional random fields
- vector space
- high dimensional data
- document clustering
- fuzzy clustering
- low dimensional
- dimensionality reduction
- probabilistic model
- discriminative power
- image analysis
- high dimensional