Convex Variational Methods on Graphs for Multiclass Segmentation of High-Dimensional Data and Point Clouds.
Egil BaeEkaterina MerkurjevPublished in: J. Math. Imaging Vis. (2017)
Keyphrases
- multi class
- high dimensional data
- point cloud
- variational methods
- level set
- dimensionality reduction
- high dimensional
- nearest neighbor
- optical flow estimation
- low dimensional
- optic flow
- approximate inference
- structure from motion
- data points
- data sets
- pairwise
- similarity search
- shape prior
- point sets
- curve evolution
- data analysis
- input space
- image segmentation
- support vector machine
- feature selection
- optical flow
- low rank
- belief propagation
- missing values
- convex optimization
- graphical models
- pattern recognition
- energy function
- support vector
- knn
- active contours
- input data