719 search results - page 11 / 144 » Normalizing Incomplete Databases |
TKDE
2002
13 years 7 months ago
2002
KDD
2008
ACM
14 years 8 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
CIKM
2010
Springer
13 years 5 months ago
2010
Springer
Schema merging is the process of consolidating multiple schemas into a unified view. The task becomes particularly challenging when the schemas are highly heterogeneous and autono...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper presents a new surface content completion framework that can restore both shape and appearance from scanned, incomplete point set inputs. First, the geometric holes can...