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Skip to Search Results- 2Scale space
- 1Multiple kernel learning
- 1Multiscale representation
- 1Noise removal
- 1Oil sand image analysis
- 1Signal reconstruction
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Fall 2013
This thesis considers the problem of visualizing simulations of phenomenon which span large ranges of spatial scales. These datasets tend to be extremely large presenting challenges both to human comprehension and high-performance computing. The main problems considered are how to effectively...
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Scale space feature selection with Multiple kernel learning and its application to oil sand image analysis
DownloadSpring 2012
Scale-space representation for an image is a significant way to generate features for object detection/classification. The size of the object we are looking for as well as its texture contents are related to the multi-scale representations. However, any scale-space based features face...