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» Metric Structures and Probabilistic Computation
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117
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AI
1998
Springer
15 years 7 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
124
Voted
EDBT
2000
ACM
15 years 6 months ago
Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes
In this paper we present the Slim-tree, a dynamic tree for organizing metric datasets in pages of fixed size. The Slim-tree uses the "fat-factor" which provides a simple ...
Caetano Traina Jr., Agma J. M. Traina, Bernhard Se...
111
Voted
MICCAI
2005
Springer
16 years 3 months ago
A Physical Model for DT-MRI Based Connectivity Map Computation
In this study we address the problem of extracting a robust connectivity metric for brain white matter. We defined the connectivity problem as an energy minimization task, by assoc...
Burak Acar, Erdem Yörük, Roland Bammer
130
Voted
CVPR
2007
IEEE
16 years 4 months ago
Mapping Natural Image Patches by Explicit and Implicit Manifolds
Image patches are fundamental elements for object modeling and recognition. However, there has not been a panoramic study of the structures of the whole ensemble of natural image ...
Kent Shi, Song Chun Zhu
CVPR
2010
IEEE
15 years 11 months ago
Probabilistic Temporal Inference on Reconstructed 3D Scenes
Modern structure from motion techniques are capable of building city-scale 3D reconstructions from large image collections, but have mostly ignored the problem of largescale struc...
Grant Schindler, Frank Dellaert