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» Approximate algorithms for neural-Bayesian approaches
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3DPVT
2004
IEEE
119views Visualization» more  3DPVT 2004»
15 years 9 months ago
The Influence of Shape on Image Correspondence
We examine the implications of shape on the process of finding dense correspondence and half-occlusions for a stereo pair of images. The desired property of the depth map is that ...
Abhijit S. Ogale, Yiannis Aloimonos
WSCG
2004
185views more  WSCG 2004»
15 years 7 months ago
Automatic Fitting and Control of Complex Freeform Shapes in 3-D
In many computer graphics and computer-aided design problems, it is very common to find a smooth and well structured surface to fit a set of unstructured 3-dimensional data. Altho...
Yu Song, Joris S. M. Vergeest, Chensheng Wang
AIPS
2009
15 years 7 months ago
Navigation Planning in Probabilistic Roadmaps with Uncertainty
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
Michael Kneebone, Richard Dearden
ICML
2010
IEEE
15 years 7 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
ICML
2010
IEEE
15 years 7 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher