Sciweavers

1009 search results - page 6 / 202
» Using Data Mining to Estimate Missing Sensor Data
Sort
View
ICCV
2009
IEEE
16 years 2 months ago
Tensor completion for estimating missing values in visual data
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 ...
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping...
SDM
2011
SIAM
284views Data Mining» more  SDM 2011»
14 years 7 days ago
The Network Completion Problem: Inferring Missing Nodes and Edges in Networks
While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomp...
Myunghwan Kim 0002, Jure Leskovec
ICASSP
2011
IEEE
14 years 1 months ago
A pitch based noise estimation technique for robust speech recognition with Missing Data
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...
Juan Andres Morales-Cordovilla, Ning Ma, Victoria ...
BMCBI
2006
116views more  BMCBI 2006»
14 years 9 months ago
Integrative missing value estimation for microarray data
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
Jianjun Hu, Haifeng Li, Michael S. Waterman, Xiang...
ICIAP
1997
ACM
15 years 29 days ago
Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data
This paper presents methods for detection and reconstruction of `missing' data in image sequences which can be modelled using 3-dimensional autoregressive (3DAR) models. The ...
Anil C. Kokaram, Simon J. Godsill