A Semi-supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere.
Benjamin ErtlMatthias SchneiderChristopher DiekmannJörg MeyerAchim StreitPublished in: ICCS (1) (2021)
Keyphrases
- semi supervised
- image segmentation
- segmentation algorithm
- multiscale
- region growing
- segmentation accuracy
- segmentation method
- subspace learning
- semi supervised learning
- brain mri
- level set
- medical images
- clustering algorithm
- pairwise
- fully automatic
- shape prior
- object segmentation
- ground truth
- optimal segmentation
- video sequences
- image analysis
- metric learning
- multiple objects
- supervised learning
- energy function
- edge detection
- labeled data
- unsupervised learning