Variance reduction with neighborhood smoothing for local intrinsic dimension estimation.
Kevin M. CarterAlfred O. Hero IIIPublished in: ICASSP (2008)
Keyphrases
- variance reduction
- intrinsic dimension
- intrinsic dimensionality
- gradient estimation
- importance sampling
- monte carlo
- sample size
- vector space
- nearest neighbor
- high dimensional data
- diffusion maps
- high dimensions
- dimensionality reduction
- noisy data
- probability density
- maximum likelihood estimation
- feature extraction
- sparse representation
- markov chain
- knn