477 search results - page 4 / 96 » Missing Data Estimation Using Polynomial Kernels |
112
Voted
DAWAK
2009
Springer
15 years 7 months ago
2009
Springer
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
106
click to vote
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper presents a noise estimation technique based on knowledge of pitch information for robust speech recognition. In the first stage the noise is estimated by means of extr...
98
Voted
ICCV
2009
IEEE
16 years 5 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 ...
ISBI
2004
IEEE
16 years 1 months ago
2004
IEEE
The surface Laplacian is known to be a theoretical reliable approximation of the cortical activity. Unfortunately, because of its high pass character and the relative low density ...
110
click to vote
BMCBI
2006
15 years 13 days ago
2006
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...