Publications

96 entries « 2 of 2 »

2011

Chen, Guangliang; Maggioni, Mauro

Multiscale Geometric and Spectral Analysis of Plane Arrangements Inproceedings

Conference on Computer Vision and Pattern Recognition, 2011.

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

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

Jones, Peter W; Maggioni, Mauro; Schul, Raanan

Universal local manifold parametrizations via heat kernels and eigenfunctions of the Laplacian Journal Article

Ann. Acad. Scient. Fen., 35 , pp. 1–44, 2010, (http://arxiv.org/abs/0709.1975).

BibTeX | Tags: diffusion geometry, heat kernels, Laplacian eigenfunctions, Manifold Learning, multiscale analysis, random walks, spectral graph theory

Guinney, J; Febbo, P; Maggioni, Mauro; Mukherjee, S

Multiscale factor models for molecular networks Journal Article

Proc. JSM, 2010.

BibTeX | Tags: spectral clustering

Chen, Guangliang; Maggioni, Mauro

Multiscale Geometric Methods for Data Sets III: multiple planes Journal Article

in preparation, 2010.

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

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

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

2009

Little, Anna V; Jung, Y -M; Maggioni, Mauro

Multiscale Estimation of Intrinsic Dimensionality of Data Sets Inproceedings

Proc. A.A.A.I., 2009.

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

Little, Anna V; Lee, J; Jung, Y -M; Maggioni, Mauro

Estimation of intrinsic dimensionality of samples from noisy low-dimensional manifolds in high dimensions with multiscale $SVD$ Inproceedings

Proc. S.S.P., 2009.

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

Willinger, Walter; Rejaie, Reza; Torkjazi, M; Valafar, M; Maggioni, Mauro

Research on Online Social Networks: Time to Face the Real Challenges Inproceedings

Proc. 2nd Workshop on Hot Topics in Measurement and Modeling of Computer Systems (HotMetrics'09), 2009.

BibTeX | Tags:

2008

Coifman, Ronald R; Maggioni, Mauro

Geometry Analysis and Signal Processing on Digital Data, Emergent Structures, and Knowledge Building Miscellaneous

SIAM News, 2008.

BibTeX | Tags: diffusion geometry, heat kernels, Laplacian eigenfunctions, Manifold Learning, multiscale analysis, random walks, spectral graph theory

Szlam, Arthur D; Maggioni, Mauro; Coifman, Ronald R

Regularization on Graphs with Function-adapted Diffusion Processes Journal Article

Jour. Mach. Learn. Res., (9), pp. 1711–1739, 2008, ((YALE/DCS/TR1365, Yale Univ, July 2006)).

BibTeX | Tags: diffusion geometry, Machine learning, Manifold Learning, random walks, semisupervised learning, spectral graph theory

Maggioni, Mauro; Mhaskar, Hrushikesh

Diffusion polynomial frames on metric measure spaces Journal Article

ACHA, 3 , pp. 329–353, 2008.

BibTeX | Tags: approximation theory, diffusion geometry, heat kernels, Laplacian eigenfunctions, multiscale analysis

Jones, Peter W; Maggioni, Mauro; Schul, Raanan

Manifold parametrizations by eigenfunctions of the Laplacian and heat kernels Journal Article

Proc. Nat. Acad. Sci., 105 (6), pp. 1803–1808, 2008.

BibTeX | Tags: diffusion geometry, heat kernels, Laplacian eigenfunctions, Manifold Learning, multiscale analysis, random walks, spectral graph theory

Coifman, Ronald R; Kevrekidis, Ioannis G; Lafon, Stephane; Maggioni, Mauro; Nadler, Boaz

Diffusion Maps, reduction coordinates and low dimensional representation of stochastic systems Journal Article

SIAM J.M.M.S., 7 (2), pp. 842–864, 2008.

BibTeX | Tags: diffusion geometry, dynamical systems, Laplacian eigenfunctions, Machine learning, model reduction, stochastic systems

2007

Coifman, Ronald R; Maggioni, Mauro

Multiscale Data Analysis with Diffusion Wavelets Journal Article

Proc. SIAM Bioinf. Workshop, Minneapolis, 2007.

BibTeX | Tags: diffusion geometry, diffusion wavelets, Machine learning, Manifold Learning, multiscale analysis, random walks, spectral graph theory, stochastic systems

Mahadevan, Sridhar; Maggioni, Mauro

Proto-value Functions: A Spectral Framework for Solving Markov Decision Processes Journal Article

JMLR, 8 , pp. 2169–2231, 2007.

BibTeX | Tags: diffusion geometry, Laplacian eigenfunctions, Machine learning, Manifold Learning, random walks, reinforcement learning, representation learning, spectral graph theory

2006

Coifman, Ronald R; Maggioni, Mauro

Diffusion Wavelets Journal Article

Appl. Comp. Harm. Anal., 21 (1), pp. 53–94, 2006, ((Tech. Rep. YALE/DCS/TR-1303, Yale Univ., Sep. 2004)).

BibTeX | Tags: diffusion geometry, diffusion wavelets, Machine learning, Manifold Learning, multiscale analysis, random walks, spectral graph theory, stochastic systems

Bremer, James Jr. C; Coifman, Ronald R; Maggioni, Mauro; Szlam, Arthur D

Diffusion Wavelet Packets Journal Article

Appl. Comp. Harm. Anal., 21 (1), pp. 95–112, 2006, ((Tech. Rep. YALE/DCS/TR-1304, 2004)).

BibTeX | Tags: diffusion geometry, Machine learning, Manifold Learning, multiscale analysis, random walks, spectral graph theory, stochastic systems

Coifman, Ronald R; Lafon, Stephane; Maggioni, Mauro; Keller, Y; Szlam, A D; Warner, F J; Zucker, S W

Geometries of sensor outputs, inference, and information processing Inproceedings

Athale, John Zolper; Eds. Intelligent Integrated Microsystems; Ravindra C A (Ed.): Proc. SPIE, pp. 623209, 2006.

BibTeX | Tags: diffusion geometry, Laplacian eigenfunctions, Machine learning, Manifold Learning, random walks, spectral graph theory, stochastic systems

Causevic, E; Coifman, Ronald R; Isenhart, R; Jacquin, A; John, E R; Maggioni, Mauro; Prichep, L S; Warner, F J

QEEG-based classification with wavelet packets and microstate features for triage applications in the ER Inproceedings

ICASSP Proc., 2006, (10.1109/ICASSP.2006.1660859).

BibTeX | Tags: Clustering, hidden Markov models, Machine learning

Coifman, Ronald R; Maggioni, Mauro

Multiscale Analysis of Document Corpora Unpublished

2006, (Technical Report).

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

Maggioni, Mauro; Mahadevan, Sridhar

Fast Direct Policy Evaluation using Multiscale Analysis of Markov Diffusion Processes Inproceedings

ICML 2006, pp. 601–608, 2006.

BibTeX | Tags: diffusion geometry, Laplacian eigenfunctions, Machine learning, Manifold Learning, random walks, reinforcement learning, representation learning, spectral graph theory

Mahadevan, Sridhar; Ferguson, Kim; Osentoski, Sarah; Maggioni, Mauro

Simultaneous Learning of Representation and Control In Continuous Domains Inproceedings

AAAI, AAAI Press, 2006.

BibTeX | Tags: diffusion geometry, Laplacian eigenfunctions, Machine learning, Manifold Learning, random walks, reinforcement learning, representation learning, spectral graph theory

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

6091 (1), SPIE, San Jose, CA, USA, 2006.

BibTeX | Tags: Clustering, hyperspectral imaging, imaging, Machine learning, supervised learning

Mahoney, Michael W; Maggioni, Mauro; Drineas, Petros

Tensor-CUR Decompositions For Tensor-Based Data Inproceedings

Proc 12-th Annual SIGKDD, 2006.

BibTeX | Tags: computational mathematics

2005

Coifman, Ronald R; Maggioni, Mauro; Zucker, Steven W; Kevrekidis, Ioannis G

Geometric diffusions for the analysis of data from sensor networks Journal Article

Curr Opin Neurobiol, 15 (5), pp. 576–84, 2005.

BibTeX | Tags: diffusion geometry, Laplacian eigenfunctions, Machine learning, Manifold Learning, random walks, spectral graph theory, stochastic systems

Coifman, Ronald R; Lafon, Stephane; Lee, Ann B; Maggioni, Mauro; Nadler, B; Warner, Frederick; Zucker, Steven W

Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps Journal Article

Proceedings of the National Academy of Sciences of the United States of America, 102 (21), pp. 7426-7431, 2005.

BibTeX | Tags: diffusion geometry, Machine learning, Manifold Learning, random walks, spectral graph theory, stochastic systems

Coifman, Ronald R; Lafon, S; Lee, A B; Maggioni, Mauro; Nadler, B; Warner, Frederick; Zucker, Steven W

Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods Journal Article

Proceedings of the National Academy of Sciences of the United States of America, 102 (21), pp. 7432–7438, 2005.

BibTeX | Tags: diffusion geometry, Machine learning, Manifold Learning, multiscale analysis, random walks, spectral graph theory, stochastic systems

Mahadevan, Sridhar; Maggioni, Mauro

Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions Inproceedings

University of Massachusetts, Department of Computer Science Technical Report TR-2005-38; Proc. NIPS 2005, 2005.

BibTeX | Tags: diffusion geometry, diffusion wavelets, Laplacian eigenfunctions, Machine learning, Manifold Learning, random walks, reinforcement learning, representation learning, spectral graph theory

Maggioni, Mauro; Bremer, James Jr. C; Coifman, Ronald R; Szlam, Arthur D

Biorthogonal diffusion wavelets for multiscale representations on manifolds and graphs Conference

5914 (1), SPIE, San Diego, CA, USA, 2005.

Links | BibTeX | Tags: diffusion geometry, diffusion wavelets, Machine learning, Manifold Learning, multiscale analysis, random walks, spectral graph theory

Szlam, Arthur D; Maggioni, Mauro; Coifman, Ronald R; Bremer, James Jr. C

Diffusion-driven multiscale analysis on manifolds and graphs: top-down and bottom-up constructions Conference

5914-1 , SPIE, San Diego, CA, USA, 2005.

Links | BibTeX | Tags: diffusion geometry, diffusion wavelets, Machine learning, Manifold Learning, multiscale analysis, random walks, spectral graph theory

2004

Goetzmann, William; Jones, Peter W; Maggioni, Mauro; Walden, Johan

Beauty is in the eye of the beholder Journal Article

submitted, 2004.

BibTeX | Tags:

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

Coifman, Ronald R; Maggioni, Mauro

Multiresolution Analysis associated to diffusion semigroups: construction and fast algorithms Technical Report

Dept. Comp. Sci., Yale University (YALE/DCS/TR-1289), 2004.

BibTeX | Tags: diffusion geometry, Machine learning, Manifold Learning, multiscale analysis, random walks, spectral graph theory, stochastic systems

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., (1311), 2004.

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

Ferrari, S; Maggioni, Mauro; Borghese, N A

Multi-Scale Approximation with Hierarchical Radial Basis Functions Networks, Journal Article

IEEE Trans. on Neural Networks, 15 (1), pp. 178–188, 2004.

BibTeX | Tags: approximation theory, multiscale analysis, radial basis functions

Cassidy, Ryan J; Berger, Jim; Maggioni, Mauro; Coifman, Ronald R

Auditory display of hyperspectral colon tissue images using vocal synthesis models Journal Article

Proc. 2004 Intern. Con. Auditory Display, 2004.

BibTeX | Tags: Clustering, diffusion geometry, hyperspectral images, Machine learning

Davis, Gus L; Maggioni, Mauro; Coifman, Ronald R; Levinson, R; Rimm, D

Spatial-Spectral Analysis of Colon Carcinoma Journal Article

Mod. Path., 2004, (In print).

BibTeX | Tags: hyperspectral imaging, imaging, medical imaging

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

Mod Pathol, 17 (1:358A), 2004.

BibTeX | Tags: hyperspectral imaging, imaging, medical imaging

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

submitted, 2004.

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

Maggioni, Mauro

Wavelet frames on groups and hypergroups via discretization of Calderón formulas Journal Article

Monats. Mat., (143), pp. 299–331, 2004.

BibTeX | Tags: harmonic analysis, wavelets

2002

Chui, Charles K; Czaja, Wojciech; Maggioni, Mauro; Weiss, Guido

Characterization of Tight Wavelet Frames with Arbitrary Matrix Dilations and Tightness Preserving Oversampling Journal Article

J Four Anal App, 8 (2), pp. 173-200, 2002.

BibTeX | Tags: harmonic analysis, wavelets

Katz, Nets H; Krop, Elliot; Maggioni, Mauro

Remarks on the box problem Journal Article

Math. Research Letters, 4 , pp. 515-519, 2002.

Links | BibTeX | Tags: combinatorics, harmonic analysis

2000

Maggioni, Mauro

M-Band Burt-Adelson Wavelets Journal Article

Appl. Comput. Harm. Anal., 3 , pp. 286-311, 2000.

BibTeX | Tags: harmonic analysis, wavelets

Maggioni, Mauro

Critical Exponent of Short Even Filters and Biorthogonal Burt-Adelson Wavelets Journal Article

Monats. Math., 131 (1), pp. 49-70, 2000.

BibTeX | Tags: harmonic analysis, wavelets

96 entries « 2 of 2 »
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