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BMCBI
2010
176views more  BMCBI 2010»
13 years 9 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
IPMI
2005
Springer
14 years 10 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...
TSMC
2010
13 years 4 months ago
A Two-Stage Dynamic Model for Visual Tracking
We propose a new dynamic model which can be used within blob trackers to track the target's center of gravity. A strong point of the model is that it is designed to track a va...
Matej Kristan, Stanislav Kovacic, Ales Leonardis, ...
KBSE
2007
IEEE
14 years 3 months ago
Modeling bug report quality
Software developers spend a significant portion of their resources handling user-submitted bug reports. For software that is widely deployed, the number of bug reports typically ...
Pieter Hooimeijer, Westley Weimer
SIGECOM
2003
ACM
128views ECommerce» more  SIGECOM 2003»
14 years 2 months ago
A reputation-based trust model for peer-to-peer ecommerce communities
Peer-to-Peer eCommerce communities are commonly perceived as an environment offering both opportunities and threats. One way to minimize threats in such an open community is to us...
Li Xiong, Ling Liu