Math @ Duke
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Papers Published
- G. Chen, M. Iwen, S. Chin and M. Maggioni, A Fast Multiscale Framework for Data in High Dimensions: Measure Estimation, Anomaly Detection, and Compressive Measurements,
in Proceedings of Visual Communications and Image Processing (VCIP)
(November, 2012), San Diego, CA
- W.K. Allard, G. Chen, and M. Maggioni, Multiscale Geometric Methods for Data Sets II: Geometric Multi-Resolution Analysis,
Applied and Computational Harmonic Analysis, vol. 32 no. 3
(May, 2012),
pp. 435-462 [doi] [author's comments]
- E. Arias-Castro, G. Chen, and G. Lerman, Spectral Clustering based on Local Linear Approximations,
Electronic Journal of Statistics, vol. 5
(November, 2011),
pp. 1537–1587 [11-EJS651]
- G. Chen, M. Maggioni, Multiscale Geometric and Spectral Analysis of Plane Arrangements,
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
(June, 2011), Colorado Springs, CO
- G. Chen, M. Maggioni, Multiscale Geometric Dictionaries for Point-Cloud Data,
in Proceedings of the 9th International Conference on Sampling Theory and Applications (SampTA)
(May, 2011), Singapore
- G. Chen, A.V. Little, M. Maggioni and L. Rosasco, Some Recent Advances in the Geometric Analysis of Point Clouds in High Dimensions,
in Wavelets and Multiscale Analysis
(March, 2011),
pp. 199-225, Springer [available here]
- E. Monson, G. Chen, R. Brady and M. Maggioni, Data Representation and Exploration with Geometric Wavelets,
in Proceedings of IEEE Symposium on Visual Analytics Science and Technology (VAST)
(October, 2010),
pp. 243 - 244, Salt Lake City, UT
- G. Chen, M. Maggioni, Multiscale Geometric Wavelets for the Analysis of Point Clouds,
in Proceedings of the 44th Annual Conference on Information Sciences and Systems (CISS)
(March, 2010),
pp. 1-6, Princeton, NJ, ISBN 978-1-4244-7416-5
- G. Chen and G. Lerman, Motion Segmentation for Hopkins 155 Database via SCC,
2009 ICCV Workshop on Dynamical Vision
(September, 2009) [0909.1608v1]
- G. Chen, S. Atev and G. Lerman, Kernel Spectral Curvature Clustering (KSCC),
2009 ICCV Workshop on Dynamical Vision
(September, 2009) [0909.1605v1]
- G. Chen and G. Lerman, Spectral Curvature Clustering (SCC),
International Journal of Computer Vision, vol. 81
(2009),
pp. 317-330 [pdf]
- G. Chen and G. Lerman, Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling,
Foundations of Computational Mathematics
(2009) [pdf]
- G. Lerman, J. McQuown, A. Blais, B. Dynlacht, G. Chen and B. Mishra, Functional Genomics via Multiscale Analysis: Application to Gene Expression and ChIP-on-chip Data,
Bioinformatics, vol. 23 no. 3
(2007),
pp. 314-320 [pdf]
- G. Chen, G. Lerman and R. Chartrand, Multiscale Analysis for Muon-Scattering Data,
Technical Report LA-UR 06-7504
(2006), Los Alamos National Laboratory
Papers Accepted
- G. Chen, A.V. Little, and M. Maggioni, Multi-Resolution Geometric Analysis for Data in High Dimensions,
in Excursions in Harmonic Analysis
(September, 2012), Springer
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dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
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Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320
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