2019
Murphy, James M; Maggioni, Mauro
Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion Journal Article
In: IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1829-1845, 2019, ISSN: 1558-0644.
Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging
@article{8481477,
title = {Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion},
author = {James M Murphy and Mauro Maggioni},
doi = {10.1109/TGRS.2018.2869723},
issn = {1558-0644},
year = {2019},
date = {2019-03-01},
urldate = {2019-03-01},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
volume = {57},
number = {3},
pages = {1829-1845},
keywords = {Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging},
pubstate = {published},
tppubtype = {article}
}
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
@inproceedings{10.1117/12.2305274,
title = {Diffusion geometric methods for fusion of remotely sensed data},
author = {James M Murphy and Mauro Maggioni},
editor = {Miguel Velez-Reyes and David W Messinger},
url = {https://doi.org/10.1117/12.2305274},
doi = {10.1117/12.2305274},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
booktitle = {Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV},
volume = {10644},
pages = {137 -- 147},
publisher = {SPIE},
organization = {International Society for Optics and Photonics},
keywords = {Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
Murphy, James M; Maggioni, Mauro
Iterative Active Learning with Diffusion Geometry for Hyperspectral Images Proceedings Article
In: Proc. of WHISPERS, 2018.
Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning
@inproceedings{whispers2018,
title = {Iterative Active Learning with Diffusion Geometry for Hyperspectral Images},
author = {James M Murphy and Mauro Maggioni},
url = {https://ieeexplore.ieee.org/abstract/document/8747033},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
booktitle = {Proc. of WHISPERS},
keywords = {Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning},
pubstate = {published},
tppubtype = {inproceedings}
}
2016
Wang, Yang; Chen, Guangliang; Maggioni, Mauro
High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies Journal Article
In: IEEE Journal of selected topics in applied Earth observations and remote sensing, vol. 9, no. 9, pp. 4316–4324, 2016.
Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging
@article{WCM:HSIandMovies,
title = {High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies},
author = {Yang Wang and Guangliang Chen and Mauro Maggioni},
url = {https://arxiv.org/abs/1509.07497
},
doi = {10.1109/JSTARS.2016.2539968},
year = {2016},
date = {2016-05-16},
urldate = {2016-05-16},
journal = {IEEE Journal of selected topics in applied Earth observations and remote sensing},
volume = {9},
number = {9},
pages = {4316--4324},
keywords = {Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging},
pubstate = {published},
tppubtype = {article}
}
2015
Maggioni, Mauro Y. Wang; Chen, Guangliang
Enhanced Detection of Chemical Plumes in Hyperspectral Images and Movies through Improved Background Modeling Proceedings Article
In: Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015.
Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging
@inproceedings{WangChenMaggioni:Whispers15,
title = {Enhanced Detection of Chemical Plumes in Hyperspectral Images and Movies through Improved Background Modeling},
author = {Mauro Y. Wang Maggioni and Guangliang Chen},
url = {https://www.sjsu.edu/faculty/guangliang.chen/papers/ChenMaggioniWang_workshop.pdf},
doi = {10.1109/WHISPERS.2015.8075369},
year = {2015},
date = {2015-01-01},
urldate = {2015-01-01},
booktitle = {Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)},
keywords = {Active Learning, Clustering, diffusion geometry, hyperspectral imaging, imaging},
pubstate = {published},
tppubtype = {inproceedings}
}
2006
Maggioni, Mauro; Davis, Gus L; Warner, F J; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A; Coifman, Ronald R
Hyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections Conference
vol. 6091, no. 1, SPIE, San Jose, CA, USA, 2006.
BibTeX | Tags: Clustering, hyperspectral imaging, imaging, Machine learning, supervised learning
@conference{maggioni:60910I,
title = {Hyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections},
author = {Mauro Maggioni and Gus L Davis and F J Warner and Frank B Geshwind and Andreas C Coppi and R A DeVerse and Ronald R Coifman},
editor = {Robert R Alfano and Alvin Katz},
year = {2006},
date = {2006-01-01},
journal = {Optical Biopsy VI},
volume = {6091},
number = {1},
pages = {60910I},
publisher = {SPIE},
address = {San Jose, CA, USA},
keywords = {Clustering, hyperspectral imaging, imaging, Machine learning, supervised learning},
pubstate = {published},
tppubtype = {conference}
}
2004
Davis, Gus L; Maggioni, Mauro; Warner, F J; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A; Coifman, Ronald R
Hyper-spectral Analysis of normal and malignant colon tissue microarray sections using a novel DMD system Miscellaneous
Poster, Optical Imaging NIH workshop, to app. in proc., 2004.
BibTeX | Tags: hyperspectral imaging, imaging, medical imaging
@misc{PathNIH2004,
title = {Hyper-spectral Analysis of normal and malignant colon tissue microarray sections using a novel DMD system},
author = {Gus L Davis and Mauro Maggioni and F J Warner and Frank B Geshwind and Andreas C Coppi and R A DeVerse and Ronald R Coifman},
year = {2004},
date = {2004-09-01},
howpublished = {Poster, Optical Imaging NIH workshop, to app. in proc.},
keywords = {hyperspectral imaging, imaging, medical imaging},
pubstate = {published},
tppubtype = {misc}
}
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
@techreport{MMPathTechRep,
title = {Algorithms from Signal and Data Processing Applied to Hyperspectral Analysis: Application to Discriminating Normal and Malignant Microarray Colon Tissue Sections},
author = {Mauro Maggioni and F J Warner and Gus L Davis and Ronald R Coifman and Frank B Geshwind and Andreas C Coppi and R A DeVerse},
year = {2004},
date = {2004-02-01},
urldate = {2004-02-01},
number = {1311},
address = {Dept. Comp. Sci.},
institution = {Yale University},
keywords = {Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {techreport}
}
Davis, Gus L; Maggioni, Mauro; Coifman, Ronald R; Levinson, R; Rimm, D
Spatial-Spectral Analysis of Colon Carcinoma Journal Article
In: Mod. Path., 2004, (In print).
BibTeX | Tags: hyperspectral imaging, imaging, medical imaging
@article{ModPath:2003,
title = {Spatial-Spectral Analysis of Colon Carcinoma},
author = {Gus L Davis and Mauro Maggioni and Ronald R Coifman and R Levinson and D Rimm},
year = {2004},
date = {2004-01-01},
journal = {Mod. Path.},
note = {In print},
keywords = {hyperspectral imaging, imaging, medical imaging},
pubstate = {published},
tppubtype = {article}
}
Davis, Gus L; Maggioni, Mauro; Warner, F J; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A; Coifman, Ronald R
Spectral Analysis of normal and Malignant Microarray Tissue Sections using a novel micro-optoelectrialmechanical system Journal Article
In: Mod Pathol, vol. 17, no. 1:358A, 2004.
BibTeX | Tags: hyperspectral imaging, imaging, medical imaging
@article{ModPath:2004,
title = {Spectral Analysis of normal and Malignant Microarray Tissue Sections using a novel micro-optoelectrialmechanical system},
author = {Gus L Davis and Mauro Maggioni and F J Warner and Frank B Geshwind and Andreas C Coppi and R A DeVerse and Ronald R Coifman},
year = {2004},
date = {2004-01-01},
journal = {Mod Pathol},
volume = {17},
number = {1:358A},
keywords = {hyperspectral imaging, imaging, medical imaging},
pubstate = {published},
tppubtype = {article}
}
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
@article{MMIEEEPath,
title = {Algorithms from Signal and Data Processing Applied to Hyperspectral Analysis: Application to Discriminating Normal and Malignant Microarray Colon Tissue Sections},
author = {Mauro Maggioni and F J Warner and Gus L Davis and Ronald R Coifman and Frank B Geshwind and Andreas C Coppi and R A DeVerse},
year = {2004},
date = {2004-01-01},
urldate = {2004-01-01},
journal = {submitted},
keywords = {Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
Cassidy, Ryan J; Berger, Jim; Maggioni, Mauro; Coifman, Ronald R
Auditory display of hyperspectral colon tissue images using vocal synthesis models Journal Article
In: Proc. 2004 Intern. Con. Auditory Display, 2004.
BibTeX | Tags: Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning
@article{AuditoryDisplay,
title = {Auditory display of hyperspectral colon tissue images using vocal synthesis models},
author = {Ryan J Cassidy and Jim Berger and Mauro Maggioni and Ronald R Coifman},
year = {2004},
date = {2004-01-01},
urldate = {2004-01-01},
journal = {Proc. 2004 Intern. Con. Auditory Display},
keywords = {Clustering, diffusion geometry, hyperspectral imaging, imaging, Machine learning},
pubstate = {published},
tppubtype = {article}
}
- Lectures at Summer School at Peking University, July 2017.
- PCMI Lectures, Summer 2016: Lecture 1, Lecture 2, Problems/discussion points
- Google Scholar
- Papers on the ArXiv
- Papers on MathsciNet
- Tutorials on diffusion geometry and multiscale analysis on graphs at the MRA Internet Program at IPAM: Part I and Part II.
- Diffusion Geometries, Diffusion Wavelets and Harmonic Analysis of large data sets, IPAM, Multiscale Geometric Analysis Program, Fall 2004.
- Diffusion Geometries, global and multiscale, IPAM, 2005.