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» Deformations of IC Structure in Test and Yield Learning
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ITC
2003
IEEE
126views Hardware» more  ITC 2003»
13 years 10 months ago
Deformations of IC Structure in Test and Yield Learning
This paper argues that the existing approaches to modeling and characterization of IC malfunctions are inadequate for test and yield learning of Deep Sub-Micron (DSM) products. Tr...
Wojciech Maly, Anne E. Gattiker, Thomas Zanon, Tho...
DATE
2006
IEEE
111views Hardware» more  DATE 2006»
13 years 10 months ago
Extraction of defect density and size distributions from wafer sort test results
Defect density and defect size distributions (DDSDs) are key parameters used in IC yield loss predictions. Traditionally, memories and specialized test structures have been used t...
Jeffrey E. Nelson, Thomas Zanon, Rao Desineni, Jas...
ICCV
2001
IEEE
14 years 6 months ago
Confidence and Curvature Estimation of Curvilinear Structures in 3-D
In this paper we present a new method for estimating confidence and curvature of 3-D curvilinear structures. The gradient structure tensor (GST) models shift-invariance. The eigen...
Peter Bakker, Lucas J. van Vliet, Piet W. Verbeek
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 6 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
CVPR
2009
IEEE
1942views Computer Vision» more  CVPR 2009»
15 years 5 days ago
Learning Similarity Measure for Multi-Modal 3D Image Registration
Multi-modal image registration is a challenging problem in medical imaging. The goal is to align anatomically identical structures; however, their appearance in images acquired wit...
Bernhard Schölkopf, Daewon Lee, Florian Stein...