4866 search results - page 387 / 974 » UML for Global Computing |
235
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
209
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
181
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
Traditional image mosaicing usually relies on rigid image transformations. In many medical applications, however, tissue deformation during image acquisition or 3D parallax effect...
170
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
Recent approaches to action classification in videos have used sparse spatio-temporal words encoding local appearance around interesting movements. Most of these approaches use a ...
185
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...