Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures.
Pierre-Francois MarteauSylvie GibetClément ReverdyPublished in: EGC (best of volume) (2015)
Keyphrases
- dimension reduction
- feature extraction
- kernel machines
- principal component analysis
- high dimensional
- low dimensional
- random projections
- high dimensional data
- cluster analysis
- singular value decomposition
- object recognition
- semi supervised
- pattern recognition
- dimensionality reduction
- unsupervised learning
- feature space
- feature selection
- high dimensionality
- sample size
- data sets
- support vector
- linear discriminant analysis
- input space
- nearest neighbor
- kernel learning
- preprocessing