Classification of outdoor 3D lidar data based on unsupervised Gaussian mixture models.
Artur MaligoSimon LacroixPublished in: SSRR (2015)
Keyphrases
- gaussian mixture model
- feature vectors
- lidar data
- mixture model
- unsupervised learning
- feature space
- expectation maximization
- machine learning
- pattern recognition
- maximum likelihood criterion
- support vector
- supervised learning
- em algorithm
- feature selection
- class labels
- speaker recognition
- maximum likelihood
- text classification
- feature set
- semi supervised
- urban environments
- image data
- feature extraction