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CVPR
2008
IEEE
14 years 10 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
ICCV
2007
IEEE
14 years 10 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
ECCV
2004
Springer
14 years 10 months ago
Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces
In this paper, we propose a new PDE-based methodology for deformable surfaces that is capable of automatically evolving its shape to capture the geometric boundary of the data and ...
Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras
ICDE
2009
IEEE
219views Database» more  ICDE 2009»
14 years 9 months ago
Distance Oracles for Spatial Networks
The popularity of location-based services and the need to do real-time processing on them has led to an interest in performing queries on transportation networks, such as finding s...
Jagan Sankaranarayanan, Hanan Samet
ICDE
2007
IEEE
111views Database» more  ICDE 2007»
14 years 9 months ago
Finding Top-k Min-Cost Connected Trees in Databases
It is widely realized that the integration of database and information retrieval techniques will provide users with a wide range of high quality services. In this paper, we study ...
Bolin Ding, Jeffrey Xu Yu, Shan Wang, Lu Qin, Xiao...
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