Using Importance Sampling for Bayesian Feature Space Filtering.
Anders BrunBjörn SvenssonCarl-Fredrik WestinMagnus HerberthsonAndreas WrangsjöHans KnutssonPublished in: SCIA (2007)
Keyphrases
- importance sampling
- feature space
- posterior distribution
- monte carlo
- markov chain monte carlo
- sequential monte carlo
- kalman filter
- markov chain
- mean shift
- rare events
- particle filter
- approximate inference
- particle filtering
- high dimensional
- proposal distribution
- feature vectors
- feature selection
- bayesian inference
- dimensionality reduction
- feature extraction
- low dimensional
- bayesian networks
- image representation
- parameter estimation
- principal component analysis
- posterior probability
- probability distribution
- gaussian mixture model
- latent variables
- data points
- computer vision
- video sequences
- training set
- probabilistic model
- hyperparameters
- gaussian distribution
- higher order
- graphical models