The Manifold Scattering Transform for High-Dimensional Point Cloud Data.
Joyce A. ChewHolly R. SteachSiddharth ViswanathHau-Tieng WuMatthew J. HirnDeanna NeedellSmita KrishnaswamyMichael PerlmutterPublished in: CoRR (2022)
Keyphrases
- high dimensional
- point cloud data
- low dimensional
- point cloud
- hough transform
- manifold learning
- lower dimensional
- high dimensional data
- dimensionality reduction
- feature space
- sparse data
- high dimensionality
- similarity search
- parameter space
- data points
- high dimension
- training samples
- variable selection
- embedding space
- structure from motion
- multi dimensional
- dimension reduction
- nearest neighbor
- vector space
- metric space
- input space
- euclidean space
- gene expression data
- computer vision
- feature vectors
- object recognition
- manifold structure
- multiscale
- image processing