Multiple View Clustering Using a Weighted Combination of Exemplar-Based Mixture Models.
Grigorios TzortzisC. L. LikasPublished in: IEEE Trans. Neural Networks (2010)
Keyphrases
- mixture model
- multiple views
- unsupervised learning
- density estimation
- mixture modeling
- gaussian mixture model
- model based clustering
- multi view
- em algorithm
- overlapping clustering
- d objects
- finite mixture models
- viewpoint
- bayesian information criterion
- expectation maximization
- clustering algorithm
- probabilistic model
- generative model
- multiple images
- k means
- model selection
- point correspondences
- probability density function
- maximum likelihood
- clustering method
- gaussian mixture
- fundamental matrix
- multiple cameras
- finite mixtures
- language model
- multiple view geometry
- automatic model selection
- uncalibrated images
- document clustering
- outlier detection
- range images
- semi supervised
- closed form
- subspace projections
- data points
- object recognition