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DATE
2009
IEEE
167views Hardware» more  DATE 2009»
14 years 3 hour ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
DAC
2009
ACM
14 years 6 months ago
Analysis and mitigation of process variation impacts on Power-Attack Tolerance
Embedded cryptosystems show increased vulnerabilities to implementation attacks such as power analysis. CMOS technology trends are causing increased process variations which impac...
Lang Lin, Wayne P. Burleson
JMLR
2010
155views more  JMLR 2010»
13 years 1 days ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
ISPW
2011
IEEE
12 years 9 months ago
Analyzing software process models with AVISPA
Software process models are sophisticated and large specifications aimed at organizing and managing software development. Their formal specification demands an enormous effort,...
Julio Ariel Hurtado Alegria, María Cecilia ...
TNN
2010
148views Management» more  TNN 2010»
12 years 12 months ago
A fast algorithm for robust mixtures in the presence of measurement errors
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Jianyong Sun, Ata Kabán