80 search results - page 8 / 16 » Robust imputation method for missing values in microarray da... |
ICAI
2009
14 years 7 months ago
2009
- There are many applications dealing with incomplete data sets that take different approaches to making imputations for missing values. Most tackle the problem for numerical input...
BMCBI
2006
14 years 9 months ago
2006
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
In this paper we propose an algorithm to estimate missing
values in tensors of visual data. The values can be missing
due to problems in the acquisition process, or because
the ...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
CSDA
2008
14 years 9 months ago
2008
: Unit nonresponse and item nonresponse in sample surveys are a typical problem of nonresponse which can be handled by weighting adjustment and imputation methods, respectively. Th...