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» Metric Structures and Probabilistic Computation
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AI
1998
Springer
13 years 12 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
EDBT
2000
ACM
13 years 11 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...
MICCAI
2005
Springer
14 years 8 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
CVPR
2007
IEEE
14 years 9 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
14 years 3 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