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ISBI
2007
IEEE
15 years 3 months ago
Statistically-Constrained Deformable Registration of Mr Brain Images
Statistical models of deformations (SMD) capture the variability of deformations of a group of sample images, and they are often used to constrain deformable registration, thereby...
Zhong Xue, Dinggang Shen
ACL
2010
14 years 7 months ago
Topic Models for Word Sense Disambiguation and Token-Based Idiom Detection
This paper presents a probabilistic model for sense disambiguation which chooses the best sense based on the conditional probability of sense paraphrases given a context. We use a...
Linlin Li, Benjamin Roth, Caroline Sporleder
92
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ICASSP
2011
IEEE
14 years 1 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
JMLR
2010
97views more  JMLR 2010»
14 years 4 months ago
Evaluation of a Bayesian model-based approach in GA studies
In a typical Genetic Association Study (GAS) several hundreds to millions of genomic variables are measured and tested for association with a given set of a phenotypic variables (...
Gábor Hullám, Peter Antal, Csaba Sza...
MICCAI
2005
Springer
15 years 10 months ago
Parametric Response Surface Models for Analysis of Multi-site fMRI Data
Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). Thes...
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica...