403 search results - page 63 / 81 » Metric and Kernel Learning Using a Linear Transformation |
112
Voted
CVPR
2006
IEEE
16 years 3 months ago
2006
IEEE
In this paper, we address the problem of 3D volume reconstruction from depth adjacent subvolumes (i.e., sets of image frames) acquired using a confocal laser scanning microscope (...
149
Voted
DICTA
2008
15 years 3 months ago
2008
In this paper, we present a texture descriptor which hinges in the use of the local image statistics so as to recover a compact representation of the texture under study. To this ...
134
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ICIP
2003
IEEE
16 years 3 months ago
2003
IEEE
Images typically contain smooth regions, which are easily compressed by linear transforms, and high activity regions (edges, textures), which are harder to compress. To compress t...
110
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CVPR
2001
IEEE
16 years 3 months ago
2001
IEEE
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
192
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PAMI
2012
13 years 4 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...