Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics.
Pedro Núñez TrujilloPaulo Drews Jr.Rui P. RochaMario Fernando Montenegro CamposJorge DiasPublished in: IROS (2009)
Keyphrases
- novelty detection
- gaussian mixture model
- robotic systems
- mixture model
- unmanned aerial vehicles
- search and rescue
- text filtering
- em algorithm
- feature vectors
- speaker recognition
- computer vision
- anomaly detection
- maximum likelihood
- probability density function
- concept drift
- expectation maximization
- feature space
- density estimation
- finite mixtures
- covariance matrices
- probability density
- low dimensional
- speaker identification
- probabilistic model
- active learning
- data streams
- similarity measure