Transform-Invariant Non-Parametric Clustering of Covariance Matrices and its Application to Unsupervised Joint Segmentation and Action Discovery.
Nadia FigueroaAude BillardPublished in: CoRR (2017)
Keyphrases
- covariance matrices
- joint segmentation
- covariance matrix
- maximum likelihood
- vector space
- image segmentation
- gaussian distribution
- distance measure
- unsupervised learning
- gaussian mixture model
- feature vectors
- entity resolution
- semi supervised
- deformable registration
- gaussian mixture
- supervised learning
- machine learning
- pairwise
- multi class
- linear classifiers
- objective function
- computer vision