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» Using Assumptions to Distribute CTL Model Checking
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MICCAI
2009
Springer
16 years 1 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
108
Voted
ALT
2000
Springer
15 years 9 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
149
Voted
JMLR
2006
125views more  JMLR 2006»
15 years 18 days ago
A Linear Non-Gaussian Acyclic Model for Causal Discovery
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärin...
121
Voted
SDL
2003
158views Hardware» more  SDL 2003»
15 years 2 months ago
Automatic Formal Model Generation and Analysis of SDL
A tool for verification of distributed systems defined using standard SDL-96 is described. The SDL description is automatically translated into a high-level Petri net model which...
Annikka Aalto, Nisse Husberg, Kimmo Varpaaniemi
JIPS
2010
110views more  JIPS 2010»
14 years 7 months ago
A License Audit Model for Secure DRM Systems in IP-based Environments
Communication devices aim to provide a multimedia service without spatial or temporal limitations in an IP-based environment. However, it is incapable of allowing for fair use by c...
Ui-Jin Jang, Hyung-Min Lim, Yong-Tae Shin