Robust GMM least square twin K-class support vector machine for urban water pipe leak recognition.
Mingyang LiuJin YangShuaiyong LiZhihao ZhouEndong FanWei ZhengPublished in: Expert Syst. Appl. (2022)
Keyphrases
- least squares
- support vector machine
- gaussian mixture model
- robust recognition
- water supply
- recognition rate
- feature vectors
- partial occlusion
- pattern recognition
- object recognition
- illumination invariance
- multi class
- recognition accuracy
- feature extraction
- water resources
- urban areas
- class labels
- feature selection
- support vector
- water consumption
- maximum likelihood
- action recognition
- kernel function
- optical flow
- decision trees