1137 search results - page 5 / 228 » Parametric Process Model Inference |
CODES
2004
IEEE
13 years 11 months ago
2004
IEEE
High-level hardware modeling is an essential, yet time-consuming, part of system design. However, effective component-based reuse in hardware modeling languages can reduce model c...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale n...
DATE
2009
IEEE
2009
IEEE
Analyzing the impact of process variations on parametric measurements: Novel models and applications
14 years 2 months ago
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...
CVIU
2011
12 years 11 months ago
2011
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
This paper presents a motion estimation and segmentation algorithm based on multiple parametric model estimation that determines the a priori unknown number of motion models prese...