6005 search results - page 199 / 1201 » Graph-Theoretical Methods in Computer Vision |
105
Voted
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
106
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ICCV
2005
IEEE
16 years 4 months ago
2005
IEEE
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
103
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ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
104
Voted
ACCV
2009
Springer
15 years 9 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
123
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...