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DAC
2004
ACM
16 years 4 months ago
Toward a systematic-variation aware timing methodology
Variability of circuit performance is becoming a very important issue for ultra-deep sub-micron technology. Gate length variation has the most direct impact on circuit performance...
Puneet Gupta, Fook-Luen Heng
118
Voted
MICCAI
2007
Springer
16 years 4 months ago
Automatic Inference of Sulcus Patterns Using 3D Moment Invariants
The goal of this work is the automatic inference of frequent patterns of the cortical sulci, namely patterns that can be observed only for a subset of the population. The sulci are...
Zhong Yi Sun, Denis Rivière, Fabrice Poupon...
106
Voted
IPMI
2005
Springer
16 years 4 months ago
From Spatial Regularization to Anatomical Priors in fMRI Analysis
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
Wanmei Ou, Polina Golland
110
Voted
IPMI
2007
Springer
16 years 4 months ago
Bayesian Tracking of Elongated Structures in 3D Images
Tracking of tubular elongated structures is an important goal in a wide range of biomedical imaging applications. A Bayesian tube tracking algorithm is presented that allows to eas...
Michiel Schaap, Ihor Smal, Coert Metz, Theo van Wa...
ICML
2009
IEEE
16 years 4 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani