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» Graph-Theoretical Methods in Computer Vision
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CVPR
2004
IEEE
16 years 8 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
ICCV
2001
IEEE
16 years 8 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
ICPR
2008
IEEE
16 years 7 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 7 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
ICPR
2006
IEEE
16 years 7 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