Applied Math

Duke Applied Mathematics



Publications of Mauro Maggioni    :chronological  alphabetical  combined  bibtex listing:

Papers Published

  1. M Maggioni, Geometry of Data and Biology, Notices of the American Mathematical Society, vol. 62 no. 10 (November, 2015), pp. 1185-1188, ISSN 0002-9920 [doi]
  2. M Maggioni, S Minsker and N Strawn, Geometric multi-resolution analysis for dictionary learning, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9597 (January, 2015), ISSN 0277-786X, ISBN 9781628417630 [doi]  [abs]
  3. M. Maggioni, S. Minsker, N. Strawn, Multiscale Dictionary and Manifold Learning: Non-Asymptotic Bounds for the Geometric Multi-Resolution Analysis, in Proc. iTWIST’14: international - Traveling Workshop on Interactions between Sparse models and Technology (August, 2014)
  4. N Altemose, KH Miga, M Maggioni and HF Willard, Genomic characterization of large heterochromatic gaps in the human genome assembly., PLoS computational biology, vol. 10 no. 5 (May, 2014), pp. e1003628, ISSN 1553-734X [doi]  [abs]
  5. M. Maggioni, Geometric Estimation of Probability Measures in High-Dimensions, Proc. IEEE Asilomar Conference (November, 2013)
  6. A Coppola, BR Wenner, O Ilkayeva, RD Stevens, M Maggioni, TA Slotkin, ED Levin and CB Newgard, Branched-chain amino acids alter neurobehavioral function in rats., Am J Physiol Endocrinol Metab, vol. 304 no. 4 (February, 2013), pp. E405-E413 [23249694], [doi]  [abs]
  7. M Maggioni, Geometric estimation of probability measures in high-dimensions, Conference Record - Asilomar Conference on Signals, Systems and Computers (January, 2013), pp. 1363-1367, ISSN 1058-6393 [doi]  [abs]
  8. K Krishnamurthy, A Mrozack, M Maggioni and D Brady, Multiscale, dictionary-based speckle denoising, in Proc. Computational Optical Sensing and Imaging, Optics InfoBase Conference Papers (January, 2013), ISBN 978-1-55752-975-6 [doi]  [abs]
  9. G. Chen, A.V. Little, M. Maggioni, Multi-Resolution Geometric Analysis for Data in High Dimensions, in Excursions in Harmonic Analysis, vol. 1 (2013), Birkhaüser Boston, ISBN 978-0-8176-8375-7 [doi]
  10. S Gerber and M Maggioni, Multiscale dictionaries, transforms, and learning in high-dimensions, WAVELETS AND SPARSITY XV, vol. 8858 (2013), ISSN 0277-786X [Gateway.cgi], [doi]
  11. MA Iwen and M Maggioni, Approximation of Points on Low-Dimensional Manifolds Via Random Linear Projections, arxiv, vol. 2 (February, 2013) [1204.3337v1], [doi]  [abs]
  12. M Maggioni, What is...data mining?, A.M.S. Notices (April, 2012) [pdf]
  13. J Bouvrie and M Maggioni, Efficient solution of Markov decision problems with multiscale representations, 2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012 (2012), pp. 474-481 [doi]  [abs]
  14. JV Bouvrie and M Maggioni, Geometric multiscale reduction for autonomous and controlled nonlinear systems., in Proc. IEEE Conference on Decision and Control (CDC), CDC (2012), pp. 4320-4327, IEEE, ISBN 978-1-4673-2065-8 [mostRecentIssue.jsp], [doi]
  15. G Chen, MA Iwen, S Chin and M Maggioni, A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements., VCIP (2012), pp. 1-6, IEEE, ISBN 978-1-4673-4405-0 [mostRecentIssue.jsp], [doi]
  16. WK Allard, G Chen and M Maggioni, Multi-scale geometric methods for data sets II: Geometric Multi-Resolution Analysis, Applied and Computational Harmonic Analysis, vol. 32 no. 3 (2012), pp. 435-462, ISSN 1063-5203 [doi]  [abs]
  17. W Zheng, MA Rohrdanz, M Maggioni and C Clementi, Polymer reversal rate calculated via locally scaled diffusion map., J Chem Phys, vol. 134 no. 14 (2011), pp. 144109 [21495744], [doi]  [abs]
  18. MA Rohrdanz, W Zheng, M Maggioni and C Clementi, Determination of reaction coordinates via locally scaled diffusion map., J Chem Phys, vol. 134 no. 12 (2011), pp. 124116 [21456654], [doi]  [abs]
  19. G. Chen, A.V. Little, M. Maggioni, L. Rosasco, Some recent advances in multiscale geometric analysis of point clouds, in Wavelets and Multiscale Analysis: Theory and Applications (March, 2011), Springer
  20. G. Chen, M. Maggioni, Multiscale Analysis of Plane Arrangements, in Proc. C.V.P.R. (2011)
  21. G. Chen, M. Maggioni, Multiscale Geometric Dictionaries for point-cloud data, Proc. SampTA 2011 (2011)
  22. G Chen and M Maggioni, Multiscale geometric and spectral analysis of plane arrangements, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2011), pp. 2825-2832, ISSN 1063-6919 [doi]  [abs]
  23. WK Allard, G Chen and M Maggioni, Multiscale Geometric Methods for Data Sets II: Geometric Wavelets, CoRR, vol. abs/1105.4924 no. 3 (2012)
  24. Eric E Monson, Rachael Brady, Guangliang Chen, Mauro Maggioni, Exploration & Representation of Data with Geometric Wavelets, Poster and short paper at Visweek 2010 (2010)
  25. J. Lee, M. Maggioni, Multiscale Analysis of Time Series of Graphs, Proc. SampTA 2011 (2010)
  26. A.V. Little, M. Maggioni, L. Rosasco, Multiscale Geometric Methods for estimating intrinsic dimension, Proc. SampTA 2011 (2010)
  27. W Willinger, R Rejaie, M Torkjazi, M Valafar and M Maggioni, Research on online social networks: Time to face the real challenges, Performance Evaluation Review, vol. 37 no. 3 (2010), pp. 49-54, ISSN 0163-5999 [doi]  [abs]
  28. EE Monson, G Chen, R Brady and M Maggioni, Data representation and exploration with geometric wavelets, VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings (2010), pp. 243-244 [doi]  [abs]
  29. Q Wu, J Guinney, M Maggioni and S Mukherjee, Learning gradients: Predictive models that infer geometry and statistical dependence, Journal of Machine Learning Research, vol. 11 (August, 2010), pp. 2175-2198, ISSN 1532-4435 [repository]  [abs]
  30. G Chen and M Maggioni, Multiscale geometric wavelets for the analysis of point clouds, 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010 (February, 2010) [doi]  [abs]
  31. J Guinney, P Febbo, M Maggioni and S Mukherjee, Multiscale factor models for molecular networks, JSM Proc. (2010), pp. 4887-4901, American Statistical Association, Alexandria, VA
  32. AV Little, J Lee, YM Jung and M Maggioni, Estimation of intrinsic dimensionality of samples from noisy low-dimensional manifolds in high dimensions with multiscale SVD, IEEE Workshop on Statistical Signal Processing Proceedings (2009), pp. 85-88 [doi]  [abs]
  33. AV Little, YM Jung and M Maggioni, Multiscale estimation of intrinsic dimensionality of data sets, AAAI Fall Symposium - Technical Report, vol. FS-09-04 (2009), pp. 26-33  [abs]
  34. AD Szlam, RR Coifman and M Maggioni, A general framework for adaptive regularization based on diffusion processes, Journ. Mach. Learn. Res. no. 9 (August, 2008), pp. 1711-1739
  35. PW Jones, M Maggioni and R Schul, Manifold parametrizations by eigenfunctions of the Laplacian and heat kernels., Proc Natl Acad Sci U S A, vol. 105 no. 6 (2008), pp. 1803-1808 [18258744], [doi]  [abs]
  36. MW Mahoney, M Maggioni and P Drineas, Tensor-CUR decompositions for tensor-based data, SIAM Journal on Matrix Analysis and Applications, vol. 30 no. 3 (2008), pp. 957-987, ISSN 0895-4798 [doi]  [abs]
  37. AD Szlam, M Maggioni and RR Coifman, Regularization on graphs with function-adapted diffusion processes, Journal of Machine Learning Research, vol. 9 (2008), pp. 1711-1739, ISSN 1532-4435  [abs]
  38. RR Coifman, S Lafon, IG Kevrekidis, M Maggioni and B Nadler, Diffusion maps, reduction coordinates, and low dimensional representation of stochastic systems, Multiscale Modeling and Simulation, vol. 7 no. 2 (2008), pp. 842-864, ISSN 1540-3459 [doi]  [abs]
  39. M Maggioni and HN Mhaskar, Diffusion polynomial frames on metric measure spaces, Applied and Computational Harmonic Analysis, vol. 24 no. 3 (May, 2008), pp. 329-353, ISSN 1063-5203 [doi]  [abs]
  40. PW Jones, M Maggioni and R Schul, Universal local parametrizations via heat kernels and eigenfunctions of the Laplacian, Annales Academiae Scientiarum Fennicae Mathematica, vol. 35 no. 1 (January, 2010), pp. 131-174, ISSN 1239-629X [0709.1975v4], [doi]  [abs]
  41. S Mahadevan and M Maggioni, Proto-value Functions: A Laplacian Framework for Learning Representation and Control, Journ. Mach. Learn. Res. no. 8 (September, 2007)
  42. S Mahadevan and M Maggioni, Proto-value functions: A Laplacian framework for learning representation and control in Markov decision processes, Journal of Machine Learning Research, vol. 8 (2007), pp. 2169-2231, ISSN 1532-4435  [abs]
  43. Sridhar Mahadevan and Kimberly Ferguson and Sarah Osentoski and Mauro Maggioni, Simultaneous Learning of Representation and Control In Continuous Domains, in submitted, Proc. AAAI 2006 (2006)
  44. Arthur D Szlam and Yoel Shkolnisky and James C Bremer and Mauro Maggioni, Image Denoising Via Graph Diffusions, in preparation (2006)
  45. Sridhar Mahadevan and Mauro Maggioni, Proto-value Functions: A Spectral Framework for Solving Markov Decision Processes, submitted (2006)
  46. Peter W Jones and Mauro Maggioni and Raanan Schul, Universal parametrizations via Eigenfunctions of the Laplacian (2006)
  47. M Maggioni, GL Davis, FJ Warner, FB Geshwind, AC Coppi, RA DeVerse and RR Coifman, Hyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections, edited by Robert R. Alfano and Alvin Katz, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6091 no. 1 (2006), pp. 60910I, SPIE, ISSN 1605-7422 [1], [doi]  [abs]
  48. RR Coifman, S Lafon, M Maggioni, Y Keller, AD Szlam, FJ Warner and SW Zucker, Geometries of sensor outputs, inference and information processing, in Proc. SPIE, edited by Intelligent Integrated Microsystems; Ravindra A. Athale, John C. Zolper; Eds., Proceedings of SPIE - The International Society for Optical Engineering, vol. 6232 (2006), pp. 623209, ISSN 0277-786X [doi]  [abs]
  49. MW Mahoney, M Maggioni and P Drineas, Tensor-CUR decompositions for tensor-based data, in Proc 12-th Annual SIGKDD, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol. 2006 (2006), pp. 327-336  [abs]
  50. S Mahadevan, M Maggioni, K Ferguson and S Osentoski, Learning representation and control in continuous Markov decision processes, Proceedings of the National Conference on Artificial Intelligence, vol. 2 (2006), pp. 1194-1199  [abs]
  51. LS Prichep, E Causevic, RR Coifman, R Isenhart, A Jacquin, ER John, M Maggioni and FJ Warner, QEEG-based classification with wavelet packet and microstate features for triage applications in the ER, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 3 (2006), pp. III1136-III1139, ISSN 1520-6149  [abs]
  52. M Maggioni and S Mahadevan, Fast direct policy evaluation using multiscale analysis of markov diffusion processes, in University of Massachusetts, Department of Computer Science Technical Report TR-2005-39; accepted at ICML 2006, ACM International Conference Proceeding Series, vol. 148 (2006), pp. 601-608 [doi]  [abs]
  53. JC Bremer, RR Coifman, M Maggioni and AD Szlam, Diffusion wavelet packets, Applied and Computational Harmonic Analysis, vol. 21 no. 1 (2006), pp. 95-112, ISSN 1063-5203 [doi]  [abs]
  54. RR Coifman and M Maggioni, Diffusion wavelets, Applied and Computational Harmonic Analysis, vol. 21 no. 1 (2006), pp. 53-94, ISSN 1063-5203 [doi]  [abs]
  55. RR Coifman, M Maggioni, SW Zucker and IG Kevrekidis, Geometric diffusions for the analysis of data from sensor networks., Curr Opin Neurobiol, vol. 15 no. 5 (October, 2005), pp. 576-584, ISSN 0959-4388 [16150587], [doi]  [abs]
  56. RR Coifman, S Lafon, AB Lee, M Maggioni, B Nadler, F Warner and SW Zucker, Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps., Proc Natl Acad Sci U S A, vol. 102 no. 21 (May, 2005), pp. 7426-7431, ISSN 0027-8424 [15899970], [doi]  [abs]
  57. RR Coifman, S Lafon, AB Lee, M Maggioni, B Nadler, F Warner and SW Zucker, Geometric diffusions as a tool for harmonic analysis and structure definition of data: multiscale methods., Proc Natl Acad Sci U S A, vol. 102 no. 21 (May, 2005), pp. 7432-7437, ISSN 0027-8424 [15899969], [doi]  [abs]
  58. AD Szlam, M Maggioni, RR Coifman and JCB Jr, Diffusion-driven multiscale analysis on manifolds and graphs: Top-down and bottom-up constructions, edited by Manos Papadakis and Andrew F. Laine and Michael A. Unser, Proceedings of SPIE - The International Society for Optical Engineering, vol. 5914 no. 1 (2005), pp. 1-11, SPIE, ISSN 0277-786X [1], [doi]  [abs]
  59. M Maggioni, JCB Jr, RR Coifman and AD Szlam, Biorthogonal diffusion wavelets for multiscale representations on manifolds and graphs, edited by Manos Papadakis and Andrew F. Laine and Michael A. Unser, Proceedings of SPIE - The International Society for Optical Engineering, vol. 5914 no. 1 (2005), pp. 1-13, SPIE, ISSN 0277-786X [1], [doi]  [abs]
  60. S Mahadevan and M Maggioni, Value function approximation with diffusion wavelets and Laplacian eigenfunctions, in University of Massachusetts, Department of Computer Science Technical Report TR-2005-38; Proc. NIPS 2005, Advances in Neural Information Processing Systems (2005), pp. 843-850, ISSN 1049-5258  [abs]
  61. E Causevic and R~R Coifman and R Isenhart and A Jacquin and E~R John and M Maggioni and L~S Prichep and F~J Warner, QEEG-based classification with wavelet packets and microstate features for triage applications in the ER (2005)
  62. S Ferrari, M Maggioni and NA Borghese, Multiscale approximation with hierarchical radial basis functions networks., IEEE Trans Neural Netw, vol. 15 no. 1 (January, 2004), pp. 178-188, ISSN 1045-9227 [15387258], [doi]  [abs]
  63. Mauro Maggioni and Frederick J Warner and Gustave L Davis and Ronald R Coifman and Frank B Geshwind and Andreas C Coppi and Richard A DeVerse, Algorithms from Signal and Data Processing Applied to Hyperspectral Analysis: Application to Discriminating Normal and Malignant Microarray Colon Tissue Sections, submitted (2004)
  64. RJ Cassidy and J Berger and Mauro Maggioni and RR Coifman, Auditory display of hyperspectral colon tissue images using vocal synthesis models, Proc. 2004 Intern. Con. Auditory Display (2004)
  65. RJ Cassidy, J Berger, K Lee, M Maggioni and RR Coifman, Analysis of hyperspectral colon tissue images using vocal synthesis models, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2 (2004), pp. 1611-1615, ISSN 1058-6393  [abs]
  66. GL Davis, M Maggioni, RR Coifman, R Levinson and D Rimm, Spatial-Spectral Analysis of Colon Carcinoma, Mod. Path. (2004)
  67. GL Davis, M Maggioni, FJ Warner, FB Geshwind, AC Coppi, RA DeVerse and RR Coifman, Spectral Analysis of normal and Malignant Microarray Tissue Sections using a novel micro-optoelectrialmechanical system, Mod Pathol, vol. 17 no. 1:358A (2004)
  68. M Maggioni, Wavelet frames on groups and hypergroups via discretization of calderón formulas, Monatshefte fur Mathematik, vol. 143 no. 4 (2004), pp. 299-331 [doi]  [abs]
  69. NH Katz, E Krop and M Maggioni, Remarks on the box problem, Mathematical Research Letters, vol. 9 no. 4 (2002), pp. 515-519
  70. CK Chui, W Czaja, M Maggioni and G Weiss, Characterization of general tight wavelet frames with matrix dilations and tightness preserving oversampling, Journal of Fourier Analysis and Applications, vol. 8 no. 2 (2002), pp. 173-200, ISSN 1069-5869 [doi]  [abs]
  71. NH Katz, E Krop and M Maggioni, On the box problem, Math. Research Letters, vol. 4 (2002), pp. 515-519
  72. M Maggioni, Critical exponent of short even filters and Burt-Adelson biorthogonal wavelets, Monatshefte fur Mathematik, vol. 131 no. 1 (2000), pp. 49-69  [abs]
  73. M Maggioni, M-Band Burt-Adelson Biorthogonal Wavelets, Applied and Computational Harmonic Analysis, vol. 9 no. 3 (2000), pp. 286-311 [doi]  [abs]
  74. Mauro Maggioni, M-Band Burt-Adelson Wavelets, Appl. Comput. Harm. Anal., vol. 3 (2000), pp. 286-311
  75. Mauro Maggioni, Critical Exponent of Short Even Filters and Biorthogonal Burt-Adelson Wavelets, Monats. Math., vol. 131 no. 1 (2000), pp. 49-70

Papers Accepted

  1. R Yin, E Monson, E Honig, I Daubechies and M Maggioni, Object recognition in art drawings: Transfer of a neural network, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2016-May (May, 2016), pp. 2299-2303, ISSN 1520-6149, ISBN 9781479999880 [doi]  [abs]
  2. M Maggioni, S Minsker and N Strawn, Multiscale dictionary learning: Non-asymptotic bounds and robustness, Journal of Machine Learning Research, vol. 17 (January, 2016), ISSN 1532-4435 (accepted for publication.) [arxiv:1401.5833]  [abs]
  3. M. Crosskey, M. Maggioni, ATLAS: A geometric approach to learning high-dimensional stochastic systems near manifolds, SIAM Journ. Mult. Model. Simul. (2015)
  4. A.V. Little, M. Maggioni, L. Rosasco, Multiscale Geometric Methods for Data Sets I: Multiscale SVD, Noise and Curvature (2012)

Papers Submitted

  1. Y Wang, G Chen and M Maggioni, High-Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2016), pp. 1-9, ISSN 1939-1404 [doi]  [abs]
  2. T. Tomita, J. Vogelstein, M. Maggioni, Randomer Forests (2015)
  3. M. Crosskey, M. Maggioni, ATLAS: A geometric approach to learning high-dimensional stochastic systems near manifolds (2014) [arXiv:1404.0667]
  4. J. Bouvrie, M. Maggioni, Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning (2012) [1212.1143]
  5. Mauro Maggioni and Ronald R Coifman, Multiscale Spectral Analysis on Data Sets with Diffusion Wavelets, in submitted (2006)
  6. Mauro Maggioni and Sridhar Mahadevan, Multiscale Diffusion Bases for Policy Iteration in Markov Decision Processes, submitted (2006)
  7. William Goetzmann and Peter W Jones and Mauro Maggioni and Johan Walden, Beauty is in the eye of the beholder, submitted (2004)

Preprints

  1. Ronald Raphel Coifman and Mauro Maggioni, Multiscale Analysis of Document Corpora (2006)
  2. GL Davis and Mauro Maggioni and FJ Warner and FB Geshwind and AC Coppi and RA DeVerse and RR Coifman, Hyper-spectral Analysis of normal and malignant colon tissue microarray sections using a novel DMD system (2004) (Poster, Optical Imaging NIH workshop, to app. in proc..)
  3. Ronald R Coifman and Mauro Maggioni, Multiresolution Analysis associated to diffusion semigroups: construction and fast algorithms no. YALE/DCS/TR-1289 (2004)

Other

  1. E. Liberty, S. Zucker, Y. Keller, M. Maggioni, R.R. Coifman, F. Geshwind, Methods for filtering data and filling in missing data using nonlinear filtering, US Patent US2006/0214133 A1 (April, 2007)
  2. M. Maggioni, R Coifman, AC Coppi, GL Davis, RA DeVerse, WG Fately, F. Geshwind, FJ Warner, System and method for hyperspectral analysis, US Patent US2006/0074835 A1 (April, 2006)
  3. RR Coifman, A. Coppi, F. Geshwind, SS Lafon, AB Lee, M Maggioni, FJ Warner, SW Zucker, WG Fately, System and method for document analysis, processing and information extraction, U.S. Patent US2006/0004753A1 (January, 2006)

Duke University * Arts & Sciences * Mathematics * September 27, 2016

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