1137 search results - page 5 / 228 » Parametric Process Model Inference |
CODES
2004
IEEE
15 years 2 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
16 years 8 days 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
15 years 6 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...
121
click to vote
CVIU
2011
14 years 2 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
16 years 23 days 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...