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TMI
2010
182views more  TMI 2010»
14 years 8 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
15 years 1 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...
BMCBI
2004
73views more  BMCBI 2004»
14 years 9 months ago
Use of a structural alphabet for analysis of short loops connecting repetitive structures
Background: Because loops connect regular secondary structures, analysis of the former depends directly on the definition of the latter. The numerous assignment methods, however, ...
Laurent Fourrier, Cristina Benros, Alexandre G. de...
FPL
2007
Springer
105views Hardware» more  FPL 2007»
15 years 3 months ago
Time Predictable CPU and DMA Shared Memory Access
In this paper, we propose a first step towards a time predictable computer architecture for single-chip multiprocessing (CMP). CMP is the actual trend in server and desktop syste...
Christof Pitter, Martin Schoeberl
NIPS
2001
14 years 11 months ago
Boosting and Maximum Likelihood for Exponential Models
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
Guy Lebanon, John D. Lafferty