Computing the volume of a high-dimensional semi-unsupervised hierarchical copula.
Enrico BernardiSilvia RomagnoliPublished in: Int. J. Comput. Math. (2011)
Keyphrases
- high dimensional
- unsupervised learning
- similarity search
- low dimensional
- data driven
- dimensionality reduction
- feature space
- nearest neighbor
- semi supervised
- joint distribution
- high dimensionality
- noisy data
- object recognition
- sparse data
- agglomerative clustering
- gaussian mixture
- coarse to fine
- sparse coding
- parameter space
- microarray data
- gene expression data
- hierarchical structure
- high dimensional data
- data points