James M. Murphy | DeepAI

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Featured Co-authors

Shuchin Aeron
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Demba Ba
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Mauro Maggioni
26 publications
Xiaozhe Hu
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Abiy Tasissa
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Daniel Mckenzie
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Wojciech Czaja
11 publications
Raymond H. Chan
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Anna Little
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Kangning Cui
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∙ 07/07/2023

Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms

We analyze the convergence properties of Fermat distances, a family of d...

0 Nicolas Garcia Trillos, et al. ∙

∙ 02/15/2023

On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection

This paper considers the use of recently proposed optimal transport-base...

0 Matthew Werenski, et al. ∙

∙ 10/21/2022

Geometric Sparse Coding in Wasserstein Space

Wasserstein dictionary learning is an unsupervised approach to learning ...

0 Marshall Mueller, et al. ∙

∙ 04/28/2022

Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry

Hyperspectral images, which store a hundred or more spectral bands of re...

0 Kangning Cui, et al. ∙

∙ 04/19/2022

Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering

Ash dieback (Hymenoscyphus fraxineus) is an introduced fungal disease th...

0 Sam L. Polk, et al. ∙

∙ 04/13/2022

Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images

Hyperspectral images encode rich structure that can be exploited for mat...

0 Sam L. Polk, et al. ∙

∙ 03/18/2022

Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images

Hyperspectral images of a scene or object are a rich data source, often ...

0 Sam L. Polk, et al. ∙

∙ 01/28/2022

Measure Estimation in the Barycentric Coding Model

This paper considers the problem of measure estimation under the barycen...

0 Matthew Werenski, et al. ∙

∙ 12/20/2021

Measuring Segregation via Analysis on Graphs

In this paper, we use analysis on graphs to study quantitative measures ...

0 Moon Duchin, et al. ∙

∙ 03/29/2021

Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry

Clustering algorithms partition a dataset into groups of similar points....

0 Sam L. Polk, et al. ∙

∙ 01/31/2021

A Multiscale Environment for Learning by Diffusion

Clustering algorithms partition a dataset into groups of similar points....

20 James M. Murphy, et al. ∙

∙ 12/03/2020

Manifold Learning and Deep Clustering with Local Dictionaries

We introduce a novel clustering algorithm for data sampled from a union ...

0 Pranay Tankala, et al. ∙

∙ 04/10/2020

Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics

We propose a method for the unsupervised clustering of hyperspectral ima...

0 Shukun Zhang, et al. ∙

∙ 03/07/2020

Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks

Data-dependent metrics are powerful tools for learning the underlying st...

0 Lenore Cowen, et al. ∙

∙ 11/06/2019

Spatially regularized active diffusion learning for high-dimensional images

An active learning algorithm for the classification of high-dimensional ...

12 James M. Murphy, et al. ∙

∙ 05/30/2019

Learning by Active Nonlinear Diffusion

This article proposes an active learning method for high dimensional dat...

0 Mauro Maggioni, et al. ∙

∙ 02/08/2019

Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering

An unsupervised learning algorithm to cluster hyperspectral image (HSI) ...

0 James M. Murphy, et al. ∙

∙ 10/15/2018

Learning by Unsupervised Nonlinear Diffusion

This paper proposes and analyzes a novel clustering algorithm that combi...

0 Mauro Maggioni, et al. ∙

∙ 12/17/2017

Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms

We consider the problem of clustering with the longest leg path distance...

0 Anna Little, et al. ∙

∙ 02/27/2016

Single-Image Superresolution Through Directional Representations

We develop a mathematically-motivated algorithm for image superresolutio...

0 Wojciech Czaja, et al. ∙

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