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» Bases for parametrized iterativity
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MICCAI
2006
Springer
16 years 7 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim
ICML
2005
IEEE
16 years 7 months ago
Computational aspects of Bayesian partition models
The conditional distribution of a discrete variable y, given another discrete variable x, is often specified by assigning one multinomial distribution to each state of x. The cost...
Mikko Koivisto, Kismat Sood
ICML
2004
IEEE
16 years 7 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
ISBI
2002
IEEE
16 years 7 months ago
Statistical shape models for segmentation and structural analysis
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
Guido Gerig, Martin Andreas Styner, Gábor S...
ICFP
2006
ACM
16 years 6 months ago
An object-oriented approach to datatype-generic programming
Datatype-generic programming (DGP) is the next step beyond abstracting over types using parametric polymorphism, which is often called "genericity" in object-oriented la...
Adriaan Moors, Frank Piessens, Wouter Joosen