Multidimensional probability density function approximations for detection, classification, and model order selection.
Steven M. KayAlbert H. NuttallPaul M. BaggenstossPublished in: IEEE Trans. Signal Process. (2001)
Keyphrases
- probability density function
- density estimation
- model order selection
- parzen window
- pattern recognition
- density function
- pattern classification
- probability distribution
- bhattacharyya distance
- decision trees
- feature extraction
- fisher information
- machine learning methods
- unsupervised learning
- probability density
- statistical methods
- machine learning algorithms
- em algorithm
- expectation maximization
- feature vectors
- outlier detection
- gaussian mixture model
- data mining
- low dimensional
- supervised learning
- training set
- image segmentation
- computer vision
- machine learning