Sciweavers

518 search results - page 10 / 104
» Estimating Missing Data in Data Streams
Sort
View
ISCA
2009
IEEE
150views Hardware» more  ISCA 2009»
14 years 4 months ago
Stream chaining: exploiting multiple levels of correlation in data prefetching
Data prefetching has long been an important technique to amortize the effects of the memory wall, and is likely to remain so in the current era of multi-core systems. Most prefetc...
Pedro Diaz, Marcelo Cintra
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 4 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
BMCBI
2008
193views more  BMCBI 2008»
13 years 10 months ago
Missing value imputation for microarray gene expression data using histone acetylation information
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
Qian Xiang, Xianhua Dai, Yangyang Deng, Caisheng H...
BMCBI
2007
62views more  BMCBI 2007»
13 years 10 months ago
Missing channels in two-colour microarray experiments: Combining single-channel and two-channel data
Background: There are mechanisms, notably ozone degradation, that can damage a single channel of two-channel microarray experiments. Resulting analyses therefore often choose betw...
Andy G. Lynch, David E. Neal, John D. Kelly, Glyn ...
ICIP
2007
IEEE
14 years 4 months ago
Estimating Missing Features to Improve Multimedia Retrieval
Retrieval in a multimedia database usually involves combining information from different modalities of data, such as text and images. However, all modalities of the data may not b...
Abraham Bagherjeiran, Nicole S. Love, Chandrika Ka...