Adaptive probabilistic tracking with discriminative feature selection for mobile robot.
Peng WangYongkang LuoWanyi LiHong QiaoPublished in: SMC (2016)
Keyphrases
- feature selection
- mobile robot
- discriminative features
- feature extraction
- mobile robot localization
- text categorization
- mobile robotics
- probabilistic model
- particle filter
- obstacle avoidance
- unsupervised learning
- loop closing
- object tracking
- path planning
- real time
- appearance model
- visual tracking
- feature space
- autonomous navigation
- generative model
- appearance features
- autonomous robots
- multi class
- classification accuracy
- indoor environments
- feature selection algorithms
- informative features
- machine learning
- multi task
- particle filtering
- uncertain data
- posterior probability
- naive bayes
- model selection
- text classification
- dimensionality reduction
- semi supervised
- support vector machine
- support vector
- mean shift
- dynamic environments
- discriminative learning
- bayesian network classifiers
- feature set
- class separability
- bayesian networks