Samuel Gerber, Ph.D.

Affiliations: 
2012 School of Computing University of Utah, Salt Lake City, UT 
Area:
Computer Science, Statistics
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"Samuel Gerber"

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Ross Whitaker grad student 2012 University of Utah
 (Nonparametric models for high-dimensional data analysis.)
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Publications

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Gerber S, Rübel O, Bremer PT, et al. (2013) Morse-Smale Regression. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 22: 193-214
Gerber S, Maggioni M. (2013) Multiscale dictionaries, transforms, and learning in high-dimensions Proceedings of Spie - the International Society For Optical Engineering. 8858
Gerber S, Whitaker R. (2013) Regularization-free principal curve estimation Journal of Machine Learning Research. 14: 1285-1302
Gerber S, Potter K. (2012) Data analysis with the Morse-Smale complex: The msr package for R Journal of Statistical Software. 50
Zhu P, Awate SP, Gerber S, et al. (2011) Fast shape-based nearest-neighbor search for brain MRIs using hierarchical feature matching. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 14: 484-91
Gerber S, Bremer PT, Pascucci V, et al. (2010) Visual exploration of high dimensional scalar functions. Ieee Transactions On Visualization and Computer Graphics. 16: 1271-80
Gerber S, Tasdizen T, Thomas Fletcher P, et al. (2010) Manifold modeling for brain population analysis. Medical Image Analysis. 14: 643-53
Gerber S, Tasdizen T, Joshi S, et al. (2009) On the manifold structure of the space of brain images. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12: 305-12
Tao R, Fletcher PT, Gerber S, et al. (2009) A variational image-based approach to the correction of susceptibility artifacts in the alignment of diffusion weighted and structural MRI. Information Processing in Medical Imaging : Proceedings of the ... Conference. 21: 664-75
Gerber S, Tasdizen T, Whitaker R. (2009) Dimensionality reduction and principal surfaces via Kernel Map Manifolds Proceedings of the Ieee International Conference On Computer Vision. 529-536
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