Variational group-PCA for intrinsic dimensionality determination in fMRI data.
Jesper Løve HinrichSøren Føns Vind NielsenKristoffer Hougaard MadsenMorten MørupPublished in: PRNI (2016)
Keyphrases
- intrinsic dimensionality
- dimensionality reduction
- principal component analysis
- vector space
- face recognition
- noisy data
- image segmentation
- low dimensional
- feature extraction
- probability density
- pattern recognition
- covariance matrix
- high dimensional
- optical flow
- high dimensional data
- face images
- linear discriminant analysis
- unsupervised learning
- database systems
- data sets
- least squares
- image data
- high dimensionality
- feature space
- training data
- neural network