A Hierarchical Manifold Learning Framework for High-Dimensional Neuroimaging Data.
Siyuan GaoGal MishneDustin ScheinostPublished in: IPMI (2019)
Keyphrases
- manifold learning
- high dimensional data
- high dimensional
- low dimensional
- data sets
- dimensionality reduction
- data analysis
- dimension reduction
- data points
- semi supervised
- dimensional data
- training data
- intrinsic manifold
- data mining techniques
- manifold structure
- nonlinear dimensionality reduction
- subspace learning
- head pose estimation
- similarity search
- labeled data
- face images
- image data
- probabilistic model
- feature extraction
- machine learning