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190
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BMCBI
2006
119views more  BMCBI 2006»
15 years 7 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
263
Voted
BMCBI
2005
169views more  BMCBI 2005»
15 years 6 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader
209
Voted
ICIC
2009
Springer
15 years 4 months ago
An Intelligent Prediction Model for Generating LGD Trigger of IEEE 802.21 MIH
IEEE recently standardized 802.21-2008 Media Independent Handover (MIH) standard. MIH is a key milestone toward the evolution of integrated heterogeneous 4G wireless networks. MIH ...
Muhammad Yousaf, Sohail Bhatti, Maaz Rehan, Amir Q...
188
Voted
CVPR
1998
IEEE
16 years 9 months ago
Singularity Analysis for Articulated Object Tracking
We analyze the use of kinematic constraints for articulated object tracking. Conditions for the occurrence of singularities in 3-D models are presented and their effects on tracki...
Daniel D. Morris, James M. Rehg
203
Voted
MODELS
2009
Springer
16 years 1 months ago
HiLA: High-Level Aspects for UML State Machines
UML state machines are widely used for modeling software behavior. However state-crosscutting behaviors, such as synchronization or execution history dependence, are hard to model...
Gefei Zhang, Matthias M. Hölzl