Automatic adaptation in classification algorithms fusing data from heterogeneous sensors.
Robert D. NowakJacek MisiurewiczRafal BiedrzyckiPublished in: FUSION (2011)
Keyphrases
- data collection
- data sets
- benchmark datasets
- data analysis
- database
- data reduction
- data structure
- training samples
- training data
- data quality
- sensor data
- knowledge discovery
- heterogeneous data
- data processing
- machine learning
- original data
- machine learning methods
- noisy data
- incomplete data
- image data
- multiple types
- support vector
- feature extraction
- learning algorithm
- nearest neighbour
- sufficient training data
- low cost sensors
- classification method
- classification algorithm
- missing data
- image classification
- data mining techniques
- feature set
- data sources
- training set
- decision trees