Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning.
Sanjay KrishnanAnimesh GargSachin PatilColin LeaGregory D. HagerPieter AbbeelKen GoldbergPublished in: ISRR (2) (2015)
Keyphrases
- unsupervised learning
- unsupervised clustering
- segmentation algorithm
- k means
- agglomerative clustering
- text segmentation
- clustering method
- clustering algorithm
- hierarchical clustering
- fully unsupervised
- unsupervised manner
- supervised classification
- motion segmentation
- image segmentation
- image analysis
- segmentation method
- multiscale
- state space
- self organizing maps
- segmentation of textured images
- completely unsupervised
- transition model
- information bottleneck
- bayesian information criterion
- unsupervised classification
- data points
- state transition
- medical images
- spectral clustering
- data clustering
- information theoretic
- normalized cut
- supervised learning
- minimally invasive surgery
- fuzzy clustering
- image processing
- surgical planning
- cluster analysis
- deformable models
- bayesian image segmentation