Publications

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2023

An, Qingci; Kevrekidis, Yannis; Lu, Fei; Maggioni, Mauro

Unsupervised learning of observation functions in state-space models by nonparametric moment methods Journal Article

In: Foundations of Data Science, 2023.

Links | BibTeX | Tags: computational mathematics, hidden Markov models, inverse problems, Machine learning, optimal transport, regression, statistics, stochastic systems, Unsupervised Learning

2019

Little, Anna V; Maggioni, Mauro; Murphy, James M

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

In: Journ. Mach. Learn. Res., vol. 21, pp. 1-66, 2019.

Links | BibTeX | Tags: Clustering, diffusion geometry, Machine learning, Unsupervised Learning

Maggioni, Mauro; Murphy, James M

Learning by active nonlinear diffusion Journal Article

In: Foundations of Data Science, vol. 1, no. “2639-8001-2019-3-271”, pp. 271, 2019, ISSN: A0000-0002.

Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, Machine learning, Unsupervised Learning

Vogelstein, Joshua T; Bridgeford, Eric W; Wang, Qing; Priebe, Carey E; Maggioni, Mauro; Shen, Cencheng

Discovering and deciphering relationships across disparate data modalities Journal Article

In: eLife, pp. 8:e41690, 2019.

Links | BibTeX | Tags: Machine learning, statistics, Unsupervised Learning

2018

Murphy, James M; Maggioni, Mauro

Diffusion geometric methods for fusion of remotely sensed data Proceedings Article

In: Velez-Reyes, Miguel; Messinger, David W (Ed.): Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, pp. 137 – 147, International Society for Optics and Photonics SPIE, 2018.

Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning, Unsupervised Learning

2016

Shen, Cencheng; Priebe, Carey E; Maggioni, Mauro; Vogelstein, Joshua T

Dependence Discovery from Multimodal Data via Multiscale Generalized Correlation Journal Article

In: Submitted, 2016.

BibTeX | Tags: Machine learning, statistics, Unsupervised Learning

2012

Chen, Guangliang; Iwen, Mark A; Chin, Peter S; Maggioni, Mauro

A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements Proceedings Article

In: Visual Communications and Image Processing (VCIP), 2012 IEEE, pp. 1-6, 2012.

BibTeX | Tags: Clustering, diffusion geometry, Machine learning, Unsupervised Learning

Chen, Guangliang; Iwen, Mark A; Chin, Peter S; Maggioni, Mauro

A Fast Multiscale Framework for Data in High Dimensions: Measure Estimation, Anomaly Detection, and Compressive Measurements Proceedings Article

In: Visual Communications and Image Processing (VCIP), 2012 IEEE, pp. 1-6, 2012.

Links | BibTeX | Tags: Clustering, diffusion geometry, Machine learning, Unsupervised Learning

2006

Coifman, Ronald R; Maggioni, Mauro

Multiscale Analysis of Document Corpora Unpublished

2006, (Technical Report).

BibTeX | Tags: Machine learning, Manifold Learning, multiscale analysis, Unsupervised Learning

2004

Maggioni, Mauro; Warner, F J; Davis, Gus L; Coifman, Ronald R; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A

Algorithms from Signal and Data Processing Applied to Hyperspectral Analysis: Application to Discriminating Normal and Malignant Microarray Colon Tissue Sections Technical Report

Yale University Dept. Comp. Sci., no. 1311, 2004.

BibTeX | Tags: Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning, Unsupervised Learning

Maggioni, Mauro; Warner, F J; Davis, Gus L; Coifman, Ronald R; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A

Algorithms from Signal and Data Processing Applied to Hyperspectral Analysis: Application to Discriminating Normal and Malignant Microarray Colon Tissue Sections Journal Article

In: submitted, 2004.

BibTeX | Tags: Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning, Unsupervised Learning

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