Publications

@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}

}

@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}

}

@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}

}

@inproceedings{6410789,

title = {A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements},

author = {Guangliang Chen and Mark A Iwen and Peter S Chin and Mauro Maggioni},

year  = {2012},

date = {2012-01-01},

booktitle = {Visual Communications and Image Processing (VCIP), 2012 IEEE},

pages = {1-6},

keywords = {Clustering, diffusion geometry, Machine learning, Unsupervised Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{CIMC:vcip2012,

title = {A Fast Multiscale Framework for Data in High Dimensions: Measure Estimation, Anomaly Detection, and Compressive Measurements},

author = {Guangliang Chen and Mark A Iwen and Peter S Chin and Mauro Maggioni},

url = {https://users.math.msu.edu/users/iwenmark/Papers/vcip2012.pdf},

doi = {10.1109/VCIP.2012.6410789},

year  = {2012},

date = {2012-01-01},

urldate = {2012-01-01},

booktitle = {Visual Communications and Image Processing (VCIP), 2012 IEEE},

pages = {1-6},

keywords = {Clustering, diffusion geometry, Machine learning, Unsupervised Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MM:EEG,

title = {QEEG-based classification with wavelet packets and microstate features for triage applications in the ER},

author = {E Causevic and Ronald R Coifman and R Isenhart and A Jacquin and E R John and Mauro Maggioni and L S Prichep and F J Warner},

year  = {2006},

date = {2006-05-01},

volume = {3},

publisher = {ICASSP Proc.},

note = {10.1109/ICASSP.2006.1660859},

keywords = {Clustering, hidden Markov models, Machine learning},

pubstate = {published},

tppubtype = {inproceedings}

}