2019
|
Liao, Wenjing; Maggioni, Mauro Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data Journal Article Journal of machine learning Research, 20 (98), pp. 1-63, 2019. Links | BibTeX | Tags: geometric wavelets, Machine learning, multiscale analysis, statistics @article{LiaoMaggioni:GMRA,
title = {Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data},
author = {Wenjing Liao and Mauro Maggioni},
url = {http://jmlr.org/papers/v20/17-252.html},
year = {2019},
date = {2019-01-01},
journal = {Journal of machine learning Research},
volume = {20},
number = {98},
pages = {1-63},
keywords = {geometric wavelets, Machine learning, multiscale analysis, statistics},
pubstate = {published},
tppubtype = {article}
}
|
2017
|
Little, Anna V; Maggioni, Mauro; Rosasco, Lorenzo Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature Journal Article Applied and Computational Harmonic Analysis, 43 (3), pp. 504 – 567, 2017, (Submitted: 2012, MIT-CSAIL-TR-2012-029/CBCL-310). BibTeX | Tags: geometric wavelets, Machine learning, Manifold Learning, multiscale analysis, statistics @article{LMR:MGM1,
title = {Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature},
author = {Anna V Little and Mauro Maggioni and Lorenzo Rosasco},
year = {2017},
date = {2017-01-01},
journal = {Applied and Computational Harmonic Analysis},
volume = {43},
number = {3},
pages = {504 – 567},
note = {Submitted: 2012, MIT-CSAIL-TR-2012-029/CBCL-310},
keywords = {geometric wavelets, Machine learning, Manifold Learning, multiscale analysis, statistics},
pubstate = {published},
tppubtype = {article}
}
|
Maggioni, Mauro Geometric Measure Estimation Journal Article in preparation, 2017. BibTeX | Tags: geometric wavelets, statistics @article{CIM:geometricdensityestimation,
title = {Geometric Measure Estimation},
author = {Mauro Maggioni},
year = {2017},
date = {2017-01-01},
journal = {in preparation},
keywords = {geometric wavelets, statistics},
pubstate = {published},
tppubtype = {article}
}
|
2013
|
Maggioni, Mauro Geometric Estimation of Probability Measures in High Dimensions Inproceedings IEEE Asilomar Conference on Signals, Systems and Computers, 2013. BibTeX | Tags: geometric wavelets, statistics @inproceedings{MM_GeometricEstimationAsilomar,
title = {Geometric Estimation of Probability Measures in High Dimensions},
author = {Mauro Maggioni},
year = {2013},
date = {2013-01-01},
booktitle = {IEEE Asilomar Conference on Signals, Systems and Computers},
keywords = {geometric wavelets, statistics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2012
|
Bouvrie, Jake; Maggioni, Mauro Geometric Multiscale Reduction for Autonomous and Controlled Nonlinear Systems Inproceedings IEEE Conference on Decision and Control (CDC), 2012. BibTeX | Tags: control theory, geometric wavelets, Machine learning, multiscale analysis @inproceedings{BM_GMReductionControlledSystems,
title = {Geometric Multiscale Reduction for Autonomous and Controlled Nonlinear Systems},
author = {Jake Bouvrie and Mauro Maggioni},
year = {2012},
date = {2012-01-01},
booktitle = {IEEE Conference on Decision and Control (CDC)},
keywords = {control theory, geometric wavelets, Machine learning, multiscale analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Allard, William K; Chen, Guangliang; Maggioni, Mauro Multi-scale geometric methods for data sets II: Geometric Multi-Resolution Analysis Journal Article Applied and Computational Harmonic Analysis, 32 (3), pp. 435–462, 2012. BibTeX | Tags: geometric wavelets, Machine learning, Manifold Learning, multiscale analysis, statistics @article{CM:MGM2,
title = {Multi-scale geometric methods for data sets II: Geometric Multi-Resolution Analysis},
author = {William K Allard and Guangliang Chen and Mauro Maggioni},
year = {2012},
date = {2012-01-01},
journal = {Applied and Computational Harmonic Analysis},
volume = {32},
number = {3},
pages = {435–462},
keywords = {geometric wavelets, Machine learning, Manifold Learning, multiscale analysis, statistics},
pubstate = {published},
tppubtype = {article}
}
|
2011
|
Chen, Guangliang; Little, Anna V; Maggioni, Mauro Multi-Resolution Geometric Analysis for data in high dimensions Journal Article Proc. FFT 2011, 2011. BibTeX | Tags: geometric wavelets, Machine learning, Manifold Learning, multiscale analysis @article{FFT2011,
title = {Multi-Resolution Geometric Analysis for data in high dimensions},
author = {Guangliang Chen and Anna V Little and Mauro Maggioni},
year = {2011},
date = {2011-08-01},
journal = {Proc. FFT 2011},
keywords = {geometric wavelets, Machine learning, Manifold Learning, multiscale analysis},
pubstate = {published},
tppubtype = {article}
}
|
Maggioni, Mauro Multiscale Geometric Dictionaries for Point-Cloud Data, Presented at SPARS 11, http://www.math.duke.edu/~mauro/research.html#Talks Journal Article 2011, (Presented at SPARS 11). Links | BibTeX | Tags: dictionary learning, geometric wavelets, Machine learning, Manifold Learning, multiscale analysis @article{MM:Spars11talk,
title = {Multiscale Geometric Dictionaries for Point-Cloud Data, Presented at SPARS 11, http://www.math.duke.edu/~mauro/research.html#Talks},
author = {Mauro Maggioni},
url = {http://www.math.duke.edu/~mauro/research.html#Talks},
year = {2011},
date = {2011-06-01},
note = {Presented at SPARS 11},
keywords = {dictionary learning, geometric wavelets, Machine learning, Manifold Learning, multiscale analysis},
pubstate = {published},
tppubtype = {article}
}
|
Chen, Guangliang; Maggioni, Mauro Multiscale Geometric Dictionaries for Point-Cloud Data Inproceedings Proc. SampTA, 2011. BibTeX | Tags: dictionary learning, geometric wavelets, Machine learning, Manifold Learning, multiscale analysis @inproceedings{CM:SamptaGW,
title = {Multiscale Geometric Dictionaries for Point-Cloud Data},
author = {Guangliang Chen and Mauro Maggioni},
year = {2011},
date = {2011-01-01},
booktitle = {Proc. SampTA},
keywords = {dictionary learning, geometric wavelets, Machine learning, Manifold Learning, multiscale analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2010
|
Monson, Eric; Chen, Guangliang; Brady, Rachel; Maggioni, Mauro Data representation and exploration with Geometric Wavelets Inproceedings Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium, pp. 243–244, 2010. Links | BibTeX | Tags: geometric wavelets, visualization @inproceedings{MM:Vast2010,
title = {Data representation and exploration with Geometric Wavelets},
author = {Eric Monson and Guangliang Chen and Rachel Brady and Mauro Maggioni},
doi = {10.1109/VAST.2010.5653822},
year = {2010},
date = {2010-12-01},
booktitle = {Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium},
pages = {243–244},
keywords = {geometric wavelets, visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Monson, Eric; Chen, Guangliang; Brady, Rachel; Maggioni, Mauro Data Representation and Exploration with Geometric Wavelets Inproceedings Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST), 2010. BibTeX | Tags: geometric wavelets, visualization @inproceedings{Monson:VAST2010,
title = {Data Representation and Exploration with Geometric Wavelets},
author = {Eric Monson and Guangliang Chen and Rachel Brady and Mauro Maggioni},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST)},
keywords = {geometric wavelets, visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Chen, Guangliang; Maggioni, Mauro Multiscale Geometric Wavelets for the Analysis of Point Clouds Journal Article Proc. CISS 2010, 2010. BibTeX | Tags: geometric wavelets, Machine learning, Manifold Learning, multiscale analysis, spectral graph theory @article{CM:geometricwaveletsciss,
title = {Multiscale Geometric Wavelets for the Analysis of Point Clouds},
author = {Guangliang Chen and Mauro Maggioni},
year = {2010},
date = {2010-01-01},
journal = {Proc. CISS 2010},
keywords = {geometric wavelets, Machine learning, Manifold Learning, multiscale analysis, spectral graph theory},
pubstate = {published},
tppubtype = {article}
}
|