The Manifold Scattering Transform for High-Dimensional Point Cloud Data.
Joyce ChewHolly R. SteachSiddharth ViswanathHau-Tieng WuMatthew J. HirnDeanna NeedellMatthew D. VeselySmita KrishnaswamyMichael PerlmutterPublished in: TAG-ML (2022)
Keyphrases
- high dimensional
- point cloud data
- low dimensional
- point cloud
- hough transform
- manifold learning
- parameter space
- lower dimensional
- high dimension
- similarity search
- dimensionality reduction
- feature space
- high dimensionality
- nearest neighbor
- sparse data
- dimension reduction
- high dimensional data
- low dimensional manifolds
- training samples
- multi dimensional
- data points
- high dimensional spaces
- embedding space
- euclidean space
- variable selection
- training set
- tangent space
- viewpoint
- gene expression data
- kernel function
- vector space