Structured Kernel Subspace Learning for Autonomous Robot Navigation.
Eunwoo KimSungjoon ChoiSonghwai OhPublished in: Sensors (2018)
Keyphrases
- subspace learning
- autonomous robot navigation
- discriminant subspace
- dimensionality reduction
- manifold learning
- maximum margin criterion
- data representation
- low dimensional
- face recognition
- sparse coding
- learning algorithm
- graph embedding
- principal component analysis
- kernel function
- discriminant analysis
- support vector
- sparse representation
- structured data
- kernel methods
- semi supervised
- feature space
- subspace learning algorithm
- canonical correlations
- neural network
- kernel learning
- unsupervised learning
- natural images
- high dimensional
- positive definite
- linear combination
- feature extraction
- feature selection
- signal processing