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TCAD
2008
136views more  TCAD 2008»
13 years 8 months ago
A Geometric Programming-Based Worst Case Gate Sizing Method Incorporating Spatial Correlation
We present an efficient optimization scheme for gate sizing in the presence of process variations. Our method is a worst-case design scheme, but it reduces the pessimism involved i...
Jaskirat Singh, Zhi-Quan Luo, Sachin S. Sapatnekar
BMCBI
2010
175views more  BMCBI 2010»
13 years 8 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
JCB
2007
130views more  JCB 2007»
13 years 8 months ago
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
Jim C. Huang, Quaid Morris, Brendan J. Frey
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 2 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
PAMI
2006
173views more  PAMI 2006»
13 years 8 months ago
Structure from Motion with Wide Circular Field of View Cameras
This paper presents a method for fully automatic and robust estimation of two-view geometry, autocalibration, and 3D metric reconstruction from point correspondences in images take...
Branislav Micusík, Tomás Pajdla