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TITB
2008
199views more  TITB 2008»
15 years 6 months ago
A 3-D Active Shape Model Driven by Fuzzy Inference: Application to Cardiac CT and MR
Abstract--Manual quantitative analysis of cardiac left ventricular function using Multislice CT and MR is arduous because of the large data volume. In this paper, we present a 3-D ...
Hans C. van Assen, Mikhail G. Danilouchkine, M. S....
ICIP
2007
IEEE
16 years 8 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
DIS
1998
Springer
15 years 10 months ago
Automatic Transaction of Signal via Statistical Modeling
The statistical information processing can be characterized by the likelihood function de ned by giving an explicit form for an approximation to the true distribution. This mathema...
Genshiro Kitagawa, Tomoyuki Higuchi
CSDA
2010
165views more  CSDA 2010»
15 years 6 months ago
A two-component Weibull mixture to model early and late mortality in a Bayesian framework
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
Alessio Farcomeni, Alessandra Nardi
DAC
2002
ACM
16 years 7 months ago
A physical model for the transient response of capacitively loaded distributed rlc interconnects
Rapid approximation of the transient response of high-speed global interconnects is needed to estimate the time delay, crosstalk, and overshoot in a GSI multilevel wiring network....
Raguraman Venkatesan, Jeffrey A. Davis, James D. M...