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348
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DAGM
2011
Springer
14 years 6 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
219
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PAMI
2012
13 years 9 months ago
2012
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
196
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CVPR
2000
IEEE
16 years 8 months ago
2000
IEEE
We presen t a multiview method for the computation of object shape and re ectance characteristics based on the integration of shape from shading (SFS) and stereo, for nonconstan t...
207
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We present a new approach to reconstruct the shape of a 3D object or scene from a set of calibrated images. The central idea of our method is to combine the topological flexibilit...
185
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ECCV
2008
Springer
16 years 8 months ago
2008
Springer
We study the task of object part extraction and labeling, which seeks to understand objects beyond simply identifiying their bounding boxes. We start from bottom-up segmentation of...