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» Graph-Theoretical Methods in Computer Vision
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127
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CVPR
2004
IEEE
16 years 4 months ago
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition
Many vision tasks can be formulated as partitioning an adjacency graph through optimizing a Bayesian posterior probability p defined on the partition-space. In this paper two appr...
Adrian Barbu, Song Chun Zhu
143
Voted
ICCV
2001
IEEE
16 years 4 months ago
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
Jamie Sherrah, Shaogang Gong
112
Voted
ICPR
2008
IEEE
16 years 3 months ago
Efficient user preference predictions using collaborative filtering
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
C. Lee Giles, Yang Song
ICPR
2008
IEEE
16 years 3 months ago
Simultaneous multi-modal registration of multiple images based on multi-dimensional joint phase moment distributions
In this paper, a novel method for simultaneously registering multiple images acquired from different imaging modalities is presented. The optimal alignment is computed as the set ...
Alexander Wong
108
Voted
ICPR
2006
IEEE
16 years 3 months ago
Robust Alignment of Transmission Electron Microscope Tilt Series
In this paper, we propose a novel method for automatic, feature-based alignment of transmission electron microscope images that is needed for computing 3D reconstructions in elect...
Sami S. Brandt, Ulrike Ziese