Unsupervised single-particle deep classification via statistical manifold learning.
Jiayi WuYongbei MaCharles CondgonBevin BrettShuobing ChenQi OuyangYoudong MaoPublished in: CoRR (2016)
Keyphrases
- manifold learning
- semi supervised
- dimension reduction
- discriminant projection
- dimensionality reduction
- unsupervised learning
- feature extraction
- supervised learning
- low dimensional
- feature space
- diffusion maps
- pattern recognition
- feature mapping
- high dimensional
- locality preserving projections
- decision trees
- high dimensional data
- nonlinear dimensionality reduction
- dimensionality reduction methods
- subspace learning
- locality preserving
- laplacian eigenmaps
- head pose estimation
- machine learning
- training set
- support vector machine svm
- sparse representation
- image classification
- pattern classification
- learning algorithm
- text classification
- principal component analysis
- signal processing
- feature vectors
- active learning
- support vector machine
- riemannian manifolds
- geodesic distance
- discriminant analysis
- object recognition
- semi supervised learning
- neural network