Dimension reduction by Manifold Learning for Evolutionary Learning with redundant sensory inputs.
Hisashi HandaHiroshi KawakamiPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- manifold learning
- dimension reduction
- evolutionary learning
- sensory inputs
- reinforcement learning
- low dimensional
- principal component analysis
- biologically inspired
- evolutionary computation
- feature extraction
- high dimensional
- diffusion maps
- high dimensional data
- manifold learning algorithm
- linear discriminant analysis
- random projections
- singular value decomposition
- dimensionality reduction
- feature selection
- high dimensionality
- unsupervised learning
- head pose estimation
- manifold embedding
- locally linear embedding
- feature space
- cluster analysis
- manifold structure
- learning algorithm
- image classification
- image data