Patterns classification of nonlinear multi-dimensional time series based on manifold learning.
Jian ChengChangshui ZhangYi-Nan GuoPublished in: ICNC (2011)
Keyphrases
- manifold learning
- multi dimensional time series
- feature mapping
- dimension reduction
- low dimensional
- feature extraction
- dimensionality reduction
- nonlinear manifold learning
- nonlinear dimensionality reduction
- low dimensional manifolds
- manifold embedding
- diffusion maps
- semi supervised
- image classification
- nonlinear manifold
- locality preserving
- pattern recognition
- feature space
- support vector machine svm
- decision trees
- laplacian eigenmaps
- high dimensional
- sparse representation
- head pose estimation
- principal component analysis
- subspace learning
- text classification
- support vector machine
- manifold learning algorithm
- feature selection
- manifold structure
- pattern classification
- neural network
- high dimensional data
- support vector
- genetic algorithm