Ann B. Lee
Ann B. Lee
Department of Statistics & Data Science and the Machine Learning Department, Carnegie Mellon
Verified email at - Homepage
Cited by
Cited by
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
RR Coifman, S Lafon, AB Lee, M Maggioni, B Nadler, F Warner, ...
Proceedings of the national academy of sciences 102 (21), 7426-7431, 2005
Most genetic risk for autism resides with common variation
T Gaugler, L Klei, SJ Sanders, CA Bodea, AP Goldberg, AB Lee, ...
Nature genetics 46 (8), 881-885, 2014
Diffusion maps and coarse-graining: A unified framework for dimensionality reduction, graph partitioning, and data set parameterization
S Lafon, AB Lee
IEEE transactions on pattern analysis and machine intelligence 28 (9), 1393-1403, 2006
On advances in statistical modeling of natural images
A Srivastava, AB Lee, EP Simoncelli, SC Zhu
Journal of mathematical imaging and vision 18, 17-33, 2003
The nonlinear statistics of high-contrast patches in natural images
AB Lee, KS Pedersen, D Mumford
International Journal of Computer Vision 54, 83-103, 2003
Occlusion models for natural images: A statistical study of a scale-invariant dead leaves model
AB Lee, D Mumford, J Huang
International Journal of Computer Vision 41, 35-59, 2001
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods
RR Coifman, S Lafon, AB Lee, M Maggioni, B Nadler, F Warner, ...
Proceedings of the National Academy of Sciences 102 (21), 7432-7437, 2005
Statistics of range images
J Huang, AB Lee, D Mumford
Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR …, 2000
Treelets—an adaptive multi-scale basis for sparse unordered data
A Lee, B Nadler, L Wasserman
The Annals of Applied Statistics 2 (2), 435-471, 2008
On the use of general control samples for genome-wide association studies: genetic matching highlights causal variants
D Luca, S Ringquist, L Klei, AB Lee, C Gieger, HE Wichmann, S Schreiber, ...
The American Journal of Human Genetics 82 (2), 453-463, 2008
Discovering genetic ancestry using spectral graph theory
AB Lee, D Luca, L Klei, B Devlin, K Roeder
Genetic Epidemiology: The Official Publication of the International Genetic …, 2010
Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)
SJ Schmidt, AI Malz, JYH Soo, IA Almosallam, M Brescia, S Cavuoti, ...
Monthly Notices of the Royal Astronomical Society 499 (2), 1587-1606, 2020
An optimal transportation approach for nuclear structure-based pathology
W Wang, JA Ozolek, D Slepčev, AB Lee, C Chen, GK Rohde
IEEE transactions on medical imaging 30 (3), 621-631, 2010
New image statistics for detecting disturbed galaxy morphologies at high redshift
PE Freeman, R Izbicki, AB Lee, JA Newman, CJ Conselice, ...
Monthly Notices of the Royal Astronomical Society 434 (1), 282-295, 2013
Converting high-dimensional regression to high-dimensional conditional density estimation
R Izbicki, A B. Lee
Nonparametric conditional density estimation in a high-dimensional regression setting
R Izbicki, AB Lee
Journal of Computational and Graphical Statistics 25 (4), 1297-1316, 2016
Exploiting low-dimensional structure in astronomical spectra
JW Richards, PE Freeman, AB Lee, CM Schafer
The Astrophysical Journal 691 (1), 32, 2009
Photometric redshift estimation using spectral connectivity analysis
PE Freeman, JA Newman, AB Lee, JW Richards, CM Schafer
Monthly Notices of the Royal Astronomical Society 398 (4), 2012-2021, 2009
System and method for document analysis, processing and information extraction
R Coifman, A Coppi, F Geshwind, S Lafon, A Lee, M Maggioni, F Warner, ...
US Patent App. 11/165,633, 2006
Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference
N Dalmasso, T Pospisil, AB Lee, R Izbicki, PE Freeman, AI Malz
Astronomy and Computing 30, 100362, 2020
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