1956 search results - page 234 / 392 » Learning the Relative Importance of Features in Image Data |
161
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IJCAI
2007
15 years 6 months ago
2007
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
170
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ML
2012
ACM
14 years 2 days ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
159
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
The robust alignment of images and scenes seen from widely different viewpoints is an important challenge for camera and scene reconstruction. This paper introduces a novel class ...
141
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VISUALIZATION
2002
IEEE
15 years 9 months ago
2002
IEEE
The Gauss map projects surface normals to a unit sphere, providing a powerful visualization of the geometry of a graphical object. It can be used to predict visual events caused b...
124
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VIS
2006
IEEE
16 years 5 months ago
2006
IEEE
Based on the observation that it is relatively easier for users to generate several good transfer functions (TFs) for different features of volumetric data, we propose TF fusing, ...