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» Estimating Missing Data in Data Streams
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BMCBI
2004
90views more  BMCBI 2004»
13 years 5 months ago
Haplotype frequency estimation error analysis in the presence of missing genotype data
Background: Increasingly researchers are turning to the use of haplotype analysis as a tool in population studies, the investigation of linkage disequilibrium, and candidate gene ...
Enda D. Kelly, Fabian Sievers, Ross McManus
ICASSP
2011
IEEE
12 years 9 months ago
How efficient is estimation with missing data?
In this paper, we present a new evaluation approach for missing data techniques (MDTs) where the efficiency of those are investigated using listwise deletion method as reference....
Seliz G. Karadogan, Letizia Marchegiani, Lars Kai ...
INTERSPEECH
2010
13 years 18 days ago
Estimating missing data sequences in x-ray microbeam recordings
Techniques for recording the vocal tract shape during speech such as X-ray microbeam or EMA track the spatial location of pellets attached to several articulators. Limitations of ...
Chao Qin, Miguel Á. Carreira-Perpiñ&...
ISBI
2004
IEEE
14 years 6 months ago
EEG Cortical Imaging: A Vector Field Approach for Laplacian Denoising and Missing Data Estimation
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 ...
Teodor Alecu, Sviatoslav Voloshynovskiy, Thierry P...
ACCV
1998
Springer
13 years 10 months ago
Comparison of Mean Field Annealing and Multiresolution Analysis in Missing Data Estimation
The project we are working on is to help develop and test a low cost, large area, high resolution X-ray detection system with a high dynamic range. The large area is achieved by b...
Hairong Qi, Wesley E. Snyder, Griff L. Bilbro