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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
ICPPW
2007
IEEE
16 years 27 days ago
A Quality-Driven Algorithm for Resource Scheduling Based on Market Model on Grid
Several challenges about computational grid exist in integrating, coordinating and managing of resources and scheduling of applications, due to distributed resources at various le...
Lei Tang, Zhiyi Yang, Zhiwen Yu, Yunlan Wang
IROS
2007
IEEE
145views Robotics» more  IROS 2007»
16 years 27 days ago
A quantitative method for comparing trajectories of mobile robots using point distribution models
— In the field of mobile robotics, trajectory details are seldom taken into account to qualify robot performance. Most metrics rely mainly on global results such as the total ti...
Pierre Roduit, Alcherio Martinoli, Jacques Jacot
ENTCS
2007
110views more  ENTCS 2007»
15 years 6 months ago
A Bayesian Model for Event-based Trust
The application scenarios envisioned for ‘global ubiquitous computing’ have unique requirements that are often incompatible with traditional security paradigms. One alternativ...
Mogens Nielsen, Karl Krukow, Vladimiro Sassone
ECCV
2008
Springer
16 years 8 months ago
A Segmentation Based Variational Model for Accurate Optical Flow Estimation
Segmentation has gained in popularity in stereo matching. However, it is not trivial to incorporate it in optical flow estimation due to the possible non-rigid motion problem. In t...
Li Xu, Jianing Chen, Jiaya Jia