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» Predicting change impact from logical models
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BMCBI
2006
87views more  BMCBI 2006»
13 years 9 months ago
Prediction of indirect interactions in proteins
Background: Both direct and indirect interactions determine molecular recognition of ligands by proteins. Indirect interactions can be defined as effects on recognition controlled...
Peteris Prusis, Staffan Uhlén, Ramona Petro...
ASPDAC
2008
ACM
104views Hardware» more  ASPDAC 2008»
13 years 11 months ago
Pessimism reduction in coupling-aware static timing analysis using timing and logic filtering
With continued scaling of technology into nanometer regimes, the impact of coupling induced delay variations is significant. While several coupling-aware static timers have been pr...
Debasish Das, Kip Killpack, Chandramouli V. Kashya...
ICASSP
2010
IEEE
13 years 10 months ago
Optimize the obvious: Automatic call flow generation
In commercial spoken dialog systems, call flows are built by call flow designers implementing a predefined business logic. While it may appear obvious from this logic how the c...
David Suendermann, Jackson Liscombe, Roberto Piera...
AOSD
2009
ACM
14 years 6 days ago
Modular verification of dynamically adaptive systems
Cyber-physical systems increasingly rely on dynamically adaptive programs to respond to changes in their physical environment; examples include ecosystem monitoring and disaster r...
Ji Zhang, Heather Goldsby, Betty H. C. Cheng
ICIP
2000
IEEE
14 years 11 months ago
Mean Shift and Optimal Prediction for Efficient Object Tracking
A new paradigm for the efficient color-based tracking of objects seen from a moving camera is presented. The proposed technique employs the mean shift analysis to derive the targe...
Dorin Comaniciu, Visvanathan Ramesh