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FTEDA
2006
137views more  FTEDA 2006»
13 years 8 months ago
Statistical Performance Modeling and Optimization
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing process...
Xin Li, Jiayong Le, Lawrence T. Pileggi
NIPS
2003
13 years 10 months ago
Nonlinear Processing in LGN Neurons
According to the current standard model, neurons in lateral geniculate nucleus (LGN) operate linearly. There is, however, ample evidence that LGN responses are nonlinear. To accou...
Vincent Bonin, Valerio Mante, Matteo Carandini
ICML
2006
IEEE
14 years 9 months ago
Pareto optimal linear classification
We consider the problem of choosing a linear classifier that minimizes misclassification probabilities in two-class classification, which is a bi-criterion problem, involving a tr...
Seung-Jean Kim, Alessandro Magnani, Sikandar Samar...
CORR
2010
Springer
99views Education» more  CORR 2010»
13 years 9 months ago
An Automated Algorithm for Approximation of Temporal Video Data Using Linear B'EZIER Fitting
This paper presents an efficient method for approximation of temporal video data using linear Bezier fitting. For a given sequence of frames, the proposed method estimates the int...
Murtaza Ali Khan
ICCAD
2006
IEEE
100views Hardware» more  ICCAD 2006»
14 years 5 months ago
Faster, parametric trajectory-based macromodels via localized linear reductions
— Trajectory-based methods offer an attractive methodology for automated, on-demand generation of macromodels for custom circuits. These models are generated by sampling the stat...
Saurabh K. Tiwary, Rob A. Rutenbar