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ICCV
2011
IEEE
13 years 9 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
MICCAI
2006
Springer
15 years 10 months ago
Reconstruction of Patient-Specific 3D Bone Surface from 2D Calibrated Fluoroscopic Images and Point Distribution Model
Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and a point distribution model is discussed. We present a 2D/3D reconstruction scheme comb...
Guoyan Zheng, Miguel Ángel González ...
CVPR
2004
IEEE
15 years 11 months ago
Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences
In this paper, we propose a face reconstruction technique that produces models that not only look good when texture mapped, but are also metrically accurate. Our method is designe...
Miodrag Dimitrijevic, Slobodan Ilic, Pascal Fua
WOSP
2004
ACM
15 years 3 months ago
Performance modeling from software components
When software products are assembled from pre-defined components, performance prediction should be based on the components also. This supports rapid model-building, using previous...
Xiuping Wu, C. Murray Woodside
86
Voted
BPM
2008
Springer
207views Business» more  BPM 2008»
14 years 11 months ago
From Personal Task Management to End-User Driven Business Process Modeling
The need to involve business users in process modeling is largely perceived in the context of Business Process Management systems. This can facilitate the elaboration of consistent...
Todor Stoitsev, Stefan Scheidl, Felix Flentge, Max...