Combining belief networks and neural networks for scene segmentation

Engineering

• Maximum Likelihood 100%
• Prior Model 100%
• Finite Number 50%
• Classification Performance 50%
• Gaussian Mixture Model 50%
• Image Analysis 50%
• Image Data 50%
• Objective Function 50%
• Maximum a Posteriori 50%
• EM Algorithm 50%
• Class Label 50%

Mathematics

• Neural Network 100%
• Maximum Likelihood 66%
• Bayesian 33%
• Objective Function 33%
• Conditionals 33%
• Posteriori 33%
• Image Data 33%
• Marginal Posterior 33%
• Finite Number 33%
• Gaussian Mixture Model 33%
• EM Algorithm 33%
• Class Label 33%

Computer Science

• Neural Network 100%
• maximum-likelihood 66%
• Image Segmentation 33%
• Image Analysis 33%
• Pixel Classification 33%
• Objective Function 33%
• Gaussian Mixture Model 33%
• Classification Performance 33%
• Machine Learning 33%
• classification result 33%