Low-dimensional embedding of fMRI datasets.
Xilin ShenFrançois G. MeyerPublished in: NeuroImage (2008)
Keyphrases
- low dimensional
- hamming space
- nonlinear dimensionality reduction
- high dimensional
- graph embedding
- vector space
- embedding space
- multidimensional scaling
- manifold learning
- dimensionality reduction
- latent space
- nonlinear manifold learning
- pairwise distances
- laplacian eigenmaps
- hamming distance
- high dimensional data
- input space
- euclidean space
- principal component analysis
- low dimensional spaces
- data points
- subspace learning
- binary codes
- human brain
- low dimensional structure
- image processing
- hash functions
- pattern recognition
- nearest neighbor
- event related
- linear subspace
- machine learning