Funnels: Exact maximum likelihood with dimensionality reduction.
Samuel KleinJohn A. RaineSebastian Pina-OteySlava VoloshynovskiyTobias GollingPublished in: CoRR (2021)
Keyphrases
- maximum likelihood
- dimensionality reduction
- em algorithm
- high dimensional data
- parameter estimation
- principal component analysis
- low dimensional
- data representation
- data points
- likelihood function
- high dimensionality
- high dimensional
- manifold learning
- dimensionality reduction methods
- feature extraction
- principal components
- linear dimensionality reduction
- pattern recognition and machine learning
- pattern recognition
- linear projection
- additive noise
- linear discriminant analysis
- nonlinear dimensionality reduction
- machine learning
- gaussian distribution
- maximum a posteriori
- euclidean distance
- feature space
- random projections
- expectation maximization
- multidimensional scaling
- nearest neighbor
- structure preserving
- face recognition
- log likelihood function
- neural network
- speaker adaptation