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Found 5 papers, 2 papers with code
Signed Cumulative Distribution Transform for Parameter Estimation of 1-D Signals
The method builds upon signal estimation using the cumulative distribution transform (CDT) originally introduced for positive distributions.
The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification
This paper presents a new mathematical signal transform that is especially suitable for decoding information related to non-rigid signal displacements.
Partitioning signal classes using transport transforms for data analysis and machine learning
A relatively new set of transport-based transforms (CDT, R-CDT, LOT) have shown their strength and great potential in various image and data processing tasks such as parametric signal estimation, classification, cancer detection among many others.
Radon cumulative distribution transform subspace modeling for image classification
We present a new supervised image classification method applicable to a broad class of image deformation models.
CUR Decompositions, Similarity Matrices, and Subspace Clustering
An algorithm based on the theoretical construction of similarity matrices is presented, and experiments on synthetic and real data are presented to test the method.
