Utilizing the Hungarian Algorithm for Improved Classification of High-Dimension Probability Density Functions in an Image Recognition Problem.
James S. CopePaolo RemagninoPublished in: ACIVS (2012)
Keyphrases
- image recognition
- high dimension
- improved algorithm
- expectation maximization
- probability density function
- pattern recognition
- learning algorithm
- feature selection
- density function
- density estimation
- similarity measure
- worst case
- image classification
- text classification
- bayesian framework
- model selection
- data mining
- data mining techniques
- support vector machine
- machine learning