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» An fMRI Activation Method Using Complex Data
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136
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CVPR
2011
IEEE
14 years 10 months ago
Learning Temporally Consistent Rigidities
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
Jean-Sebastien Franco, Edmond Boyer
118
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IPMI
2005
Springer
16 years 3 months ago
Multi-figure Anatomical Objects for Shape Statistics
Abstract. Multi-figure m-reps allow us to represent and analyze a complex anatomical object by its parts, by relations among its parts, and by the object itself as a whole entity. ...
Qiong Han, Stephen M. Pizer, Derek Merck, Sarang C...
114
Voted
FIW
2009
101views Communications» more  FIW 2009»
15 years 16 days ago
Feature Interaction Detection in the Feature Language Extensions
One of the most difficult tasks in software development is that features are implemented by changing the code of other features. This problem cannot be solved with existing general...
Lei Sun, Lu Zhoa, Yimeng Li, Wu-Hon F. Leung
148
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NIPS
2000
15 years 4 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek
156
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BMCBI
2010
150views more  BMCBI 2010»
15 years 2 months ago
Systematic calibration of a cell signaling network model
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
Kyoung Ae Kim, Sabrina L. Spencer, John G. Albeck,...