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Invariance encoding in sliced-Wasserstein space for image classification with limited training data

This repository contains the Python language codes for reproducing the results in the paper titled "Invariance encoding in sliced-Wasserstein space for image classification with limited training data" using the subspace enhancement technique used with the Radon cumulative distribution transform nearest subspace (RCDT-NS) classifier. To use this classifier users need to install PyTransKit (Python Transport Based Signal Processing Toolkit) from: https://github.com/rohdelab/PyTransKit.

Installation of PyTransKit

The library can be installed through pip

pip install pytranskit

Alternately, one can clone/download the repository from [github] and add the pytranskit directory to your Python path.

import sys
sys.path.append('path/to/pytranskit')

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