A supervised learning approach for fast object recognition from RGB-D data.
David PaulkVangelis MetsisChristopher McMurroughFillia MakedonPublished in: PETRA (2014)
Keyphrases
- object recognition
- data sets
- complex data
- data collection
- data sources
- database
- experimental data
- supervised learning
- training data
- data distribution
- data processing
- probability distribution
- data points
- knowledge discovery
- image data
- original data
- data analysis
- statistical methods
- missing data
- training examples
- unsupervised learning
- neural network
- high quality
- reinforcement learning
- synthetic data
- training samples
- statistical analysis
- mobile robot
- data structure
- databases
- object detection
- prior knowledge