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MICCAI
2010
Springer
15 years 5 months ago
Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map
Automatic segmentation of the esophagus from CT data is a challenging problem. Its wall consists of muscle tissue, which has low contrast in CT. Sometimes it is filled with air or...
Johannes Feulner, Shaohua Kevin Zhou, Martin Huber...
BMVC
2010
15 years 4 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ICCV
2011
IEEE
14 years 6 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
VLSID
2004
IEEE
147views VLSI» more  VLSID 2004»
16 years 7 months ago
Computing Silent Gate Models for Noise Analysis from Slew and Delay Tables
Abstract--In this paper, we present a new approach to calculate the steady state resistance values for CMOS library gates. These resistances are defined as simple equivalent models...
Shabbir H. Batterywala, Narendra V. Shenoy
IUI
1998
ACM
15 years 11 months ago
U-TEL: A Tool for Eliciting User Task Models from Domain Experts
Eliciting user-task models is a thorny problem in modelbased user interface design, and communicating domainspecific knowledge from an expert to a knowledge engineer is a continui...
R. Chung-Man Tam, David Maulsby, Angel R. Puerta