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ICCV
2007
IEEE
14 years 10 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...
ICCV
2007
IEEE
14 years 10 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
ICCV
2007
IEEE
14 years 10 months ago
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints
Indisputably Normalized Cuts is one of the most popular segmentation algorithms in computer vision. It has been applied to a wide range of segmentation tasks with great success. A...
Anders P. Eriksson, Carl Olsson, Fredrik Kahl
ICCV
2005
IEEE
14 years 10 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
ICCV
2003
IEEE
14 years 10 months ago
Dense Shape Reconstruction of a Moving Object under Arbitrary, Unknown Lighting
We present a method for shape reconstruction from several images of a moving object. The reconstruction is dense (up to image resolution). The method assumes that the motion is kn...
Denis Simakov, Darya Frolova, Ronen Basri