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TCAD
2008
115views more  TCAD 2008»
15 years 4 months ago
Statistical Thermal Profile Considering Process Variations: Analysis and Applications
The nonuniform substrate thermal profile and process variations are two major concerns in the present-day ultradeep submicrometer designs. To correctly predict performance/ leakage...
Javid Jaffari, Mohab Anis
AROBOTS
2011
14 years 11 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
ICCV
2007
IEEE
16 years 6 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
ICST
2009
IEEE
15 years 11 months ago
A Model Building Process for Identifying Actionable Static Analysis Alerts
Automated static analysis can identify potential source code anomalies early in the software process that could lead to field failures. However, only a small portion of static ana...
Sarah Smith Heckman, Laurie A. Williams
ICNS
2007
IEEE
15 years 10 months ago
A Case Study-based Performance Evaluation Framework for CSCF Processes on a Blade-Server
Abstract— The study of protocol behavior and traffic characteristics in a simulated environment is commonly supported by ad-hoc or general purpose simulators (e.g., Opnet, NS-2)...
Preetam Ghosh, Nirmalya Roy, Kalyan Basu, Sajal K....