Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures.
Pierre-François MarteauSylvie GibetClément ReverdyPublished in: CoRR (2016)
Keyphrases
- dimension reduction
- feature extraction
- kernel machines
- random projections
- high dimensional
- singular value decomposition
- principal component analysis
- pattern recognition
- high dimensionality
- object recognition
- unsupervised learning
- low dimensional
- similarity measure
- semi supervised
- sample size
- k nearest neighbor
- dimensionality reduction
- data mining
- support vector machine
- feature space
- face recognition
- feature selection
- learning algorithm