Inductive manifold learning using structured support vector machine.
Kyoungok KimDaewon LeePublished in: Pattern Recognit. (2014)
Keyphrases
- manifold learning
- support vector machine
- low dimensional
- dimensionality reduction
- structured output
- nonlinear dimensionality reduction
- feature space
- subspace learning
- machine learning
- semi supervised
- head pose estimation
- diffusion maps
- dimension reduction
- high dimensional
- high dimensional data
- feature extraction
- laplacian eigenmaps
- svm classifier
- manifold learning algorithm
- sparse representation
- feature vectors
- training data
- feature selection
- support vector
- support vector machine svm
- k nearest neighbor
- kernel function
- low dimensional manifolds
- object recognition
- kernel methods
- manifold structure
- locality preserving
- data mining
- geodesic distance
- support vector regression
- pattern recognition
- image classification
- nearest neighbor
- data points
- learning algorithm
- neural network
- discriminant projection