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DAC
2006
ACM
14 years 1 months ago
Variation-aware analysis: savior of the nanometer era?
VLSI engineers have traditionally used a variety of CAD analysis tools (e.g. SPICE) to deal with variability. As we go into deep sub micron issues, the analysis is becoming harder...
Sani R. Nassif, Vijay Pitchumani, N. Rodriguez, De...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 10 days ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
ICSE
2001
IEEE-ACM
13 years 12 months ago
Conceptual Modeling through Linguistic Analysis Using LIDA
Despite the advantages that object technology can provide to the software development community and its customers, the fundamental problems associated with identifying objects, th...
Scott P. Overmyer, Benoit Lavoie, Owen Rambow
PAMI
2012
11 years 10 months ago
A Blur-Robust Descriptor with Applications to Face Recognition
—Understanding the effect of blur is an important problem in unconstrained visual analysis. We address this problem in the context of image-based recognition, by a fusion of imag...
Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, ...