Maxwell Normal Distribution in a Manifold and Mahalanobis Metric.
Yukihiko YamashitaMariko NumakamiNaoya InouePublished in: SSPR/SPR (2006)
Keyphrases
- normal distribution
- mahalanobis metric
- covariance matrix
- principal component analysis
- standard deviation
- metric learning
- low dimensional
- manifold learning
- random variables
- sample size
- distance metric
- principal components
- probability density function
- feature space
- machine learning methods
- nonlinear dimensionality reduction
- feature set
- probability distribution
- high dimensional