Marginal Maximum Entropy Partitioning Yields Asymptotically Consistent Probability Density Functions.
Tom ChauPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2001)
Keyphrases
- maximum entropy
- probability density function
- class conditional
- probability distribution
- density estimation
- maximum entropy principle
- density function
- joint distribution
- random fields
- marginal distributions
- gaussian mixture
- statistical methods
- conditional random fields
- gaussian mixture model
- minimum cross entropy
- mixture model
- bayesian framework
- kullback leibler divergence
- em algorithm
- expectation maximization
- low dimensional
- machine learning
- distance function
- nearest neighbor
- multi class
- knn
- training set
- clustering algorithm
- computer vision
- learning algorithm
- information retrieval