A self-shadow algorithm for dynamic hair using density clustering.
Tom MertensJan KautzPhilippe BekaertFrank Van ReethPublished in: SIGGRAPH Sketches (2004)
Keyphrases
- k means
- detection algorithm
- clustering method
- learning algorithm
- optimization algorithm
- experimental evaluation
- objective function
- synthetic datasets
- preprocessing
- dynamic programming
- computational complexity
- computational cost
- density based clustering algorithm
- segmentation algorithm
- synthetic and real datasets
- recognition algorithm
- convergence rate
- matching algorithm
- self organizing maps
- dense regions
- expectation maximization
- high dimensional
- clustering algorithm
- unsupervised learning
- worst case
- probabilistic model
- outlier detection
- data clustering
- spectral clustering
- np hard
- significant improvement
- lower bound
- neural network