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177
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ACL
2011
14 years 10 months ago
2011
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
244
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TOG
2012
13 years 9 months ago
2012
Point samples with different spectral noise properties (often defined using color names such as white, blue, green, and red) are important for many science and engineering discip...
252
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
We introduce a method to repair an image which has been stamped by an identigram or a watermark. Our method is based on the cross-channel correlation which assures the co-occurren...
213
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CVPR
2004
IEEE
16 years 9 months ago
2004
IEEE
In this paper, we address the problem of discovering the 3D shape of a book surface from the shading information in a scanned document image. This shapefrom-shading problem is cha...
195
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CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...