Object Recognition with Class Conditional Gaussian Mixture Model - A Statistical Learning Approach.
Wentao LuQingbin ShehLiangde LiClaude SammutPublished in: RoboCup (2022)
Keyphrases
- statistical learning
- gaussian mixture model
- class conditional
- probability density function
- object recognition
- mixture model
- model selection
- density function
- nearest neighbor
- em algorithm
- feature vectors
- expectation maximization
- computer vision
- supervised learning
- density estimation
- unsupervised learning
- feature space
- maximum likelihood
- d objects
- object detection
- natural images
- class probabilities
- object class
- text mining
- semi supervised learning
- object categories
- image representation
- image features
- semi supervised
- probabilistic model
- visual words
- probability distribution
- pattern recognition
- data mining