On comparison of manifold learning techniques for dendritic spine classification.
Muhammad Usman GhaniAli Ozgur ArgunsahInbal IsraelyDevrim ÜnayTolga TasdizenMüjdat ÇetinPublished in: ISBI (2016)
Keyphrases
- manifold learning
- feature extraction
- dimension reduction
- dimensionality reduction
- low dimensional
- diffusion maps
- pattern recognition
- nonlinear dimensionality reduction
- subspace learning
- high dimensional
- feature mapping
- semi supervised
- feature space
- locality preserving
- text classification
- laplacian eigenmaps
- high dimensional data
- locality preserving projections
- image classification
- feature vectors
- support vector machine
- head pose estimation
- unsupervised learning
- preprocessing
- machine learning
- decision trees
- multiscale
- dimensionality reduction methods
- support vector
- geodesic distance
- model selection
- feature set
- active learning
- least squares