Multi-sensor fusion and feature selection in ultraviolet-visible spectrometry system for predicting chemical oxygen demand.
Jian ZhangDibo HouPingjie HuangGuangxin ZhangLeilei DaiJiachen LiTianlong LuShu LiuPublished in: ICCA (2014)
Keyphrases
- multi sensor fusion
- feature selection
- multi sensor
- infrared
- text categorization
- mutual information
- feature selection algorithms
- information gain
- feature set
- data fusion
- selected features
- support vector machine
- text classification
- multi class
- feature subset
- high quality
- decision trees
- machine learning
- unsupervised feature selection
- production cost
- high dimensionality
- feature extraction
- classification accuracy
- support vector
- data sets
- co occurrence
- classification models
- image processing
- object detection
- multi task
- knn
- electricity markets
- drug discovery
- domain knowledge
- pattern recognition