A Parameter Dimension Reduction-Based Estimation Approach to Enhance the Kinematic Accuracy of a Parallel Hardware-in-the-Loop Docking Simulator.
Yan HuFeng GaoXianchao ZhaoTianhao YangHaoran ShenChenkun QiRui CaoPublished in: Robotica (2021)
Keyphrases
- dimension reduction
- parallel hardware
- principal component analysis
- singular value decomposition
- low dimensional
- feature extraction
- feature space
- high dimensional
- variable selection
- manifold learning
- random projections
- high dimensional problems
- linear discriminant analysis
- feature selection
- unsupervised learning
- data mining and machine learning
- cluster analysis
- partial least squares
- machine learning
- image data
- bayesian networks
- high dimensionality
- image processing
- density estimation
- neural network
- discriminative information
- dimension reduction methods
- data sets
- high dimensional data analysis
- high dimensional data
- dimensionality reduction
- decision trees
- data mining