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07/28/2023
The Radon Signed Cumulative Distribution Transform and its applications in classification of Signed Images
Here we describe a new image representation technique based on the mathe...
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02/02/2023
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection
There exist growing interests in intelligent systems for numerous medica...
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06/04/2022
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Analysis
Transport-based metrics and related embeddings (transforms) have recentl...
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04/30/2022
End-to-End Signal Classification in Signed Cumulative Distribution Transform Space
This paper presents a new end-to-end signal classification method using ...
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02/22/2022
Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition
We present a new method for face recognition from digital images acquire...
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01/09/2022
Invariance encoding in sliced-Wasserstein space for image classification with limited training data
Deep convolutional neural networks (CNNs) are broadly considered to be s...
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06/03/2021
The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification
This paper presents a new mathematical signal transform that is especial...
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12/11/2020
Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection
Generative adversarial training (GAT) is a recently introduced adversari...
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08/08/2020
Partitioning signal classes using transport transforms for data analysis and machine learning
A relatively new set of transport-based transforms (CDT, R-CDT, LOT) hav...
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06/16/2020
Wasserstein Embedding for Graph Learning
We present Wasserstein Embedding for Graph Learning (WEGL), a novel and ...
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04/07/2020
Radon cumulative distribution transform subspace modeling for image classification
We present a new supervised image classification method for problems whe...
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07/04/2019
Neural Networks, Hypersurfaces, and Radon Transforms
Connections between integration along hypersufaces, Radon transforms, an...
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05/27/2019
Divide-and-Conquer Adversarial Detection
The vulnerabilities of deep neural networks against adversarial examples...
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02/01/2019
Generalized Sliced Wasserstein Distances
The Wasserstein distance and its variations, e.g., the sliced-Wasserstei...
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04/05/2018
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
In this paper we study generative modeling via autoencoders while using ...
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02/20/2018
Transport-Based Pattern Theory: A Signal Transformation Approach
In many scientific fields imaging is used to relate a certain physical q...
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11/15/2017
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Gaussian mixture models (GMM) are powerful parametric tools with many ap...
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05/14/2017
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry
Disease in the brain is often associated with subtle, spatially diffuse,...
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09/27/2016
A Transportation L^p Distance for Signal Analysis
Transport based distances, such as the Wasserstein distance and earth mo...
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09/15/2016
Transport-based analysis, modeling, and learning from signal and data distributions
Transport-based techniques for signal and data analysis have received in...
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11/10/2015
The Radon cumulative distribution transform and its application to image classification
Invertible image representation methods (transforms) are routinely emplo...
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11/10/2015
