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» Input Modeling Using Quantile Statistical Methods
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ICDAR
2009
IEEE
14 years 2 months ago
Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vecto...
Yanjie Wang, Xiabi Liu, Yunde Jia
ASPDAC
2007
ACM
117views Hardware» more  ASPDAC 2007»
13 years 11 months ago
A Current-based Method for Short Circuit Power Calculation under Noisy Input Waveforms
An accurate model is presented to calculate the short circuit energy dissipation of logic cells. The short circuit current is highly dependent on the input and output voltage valu...
Hanif Fatemi, Shahin Nazarian, Massoud Pedram
WSC
2008
13 years 10 months ago
Reliable simulation with input uncertainties using an interval-based approach
Uncertainty associated with input parameters and models in simulation has gained attentions in recent years. The sources of uncertainties include lack of data and lack of knowledg...
Ola Ghazi Batarseh, Yan Wang
ASPDAC
2008
ACM
169views Hardware» more  ASPDAC 2008»
13 years 9 months ago
Analytical model for the impact of multiple input switching noise on timing
The timing models used in current Static Timing Analysis tools use gate delays only for single input switching events. It is well known that the temporal proximity of signals arriv...
Rajeshwary Tayade, Sani R. Nassif, Jacob A. Abraha...
ENVSOFT
2008
175views more  ENVSOFT 2008»
13 years 7 months ago
Automated regression-based statistical downscaling tool
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
Masoud Hessami, Philippe Gachon, Taha B. M. J. Oua...