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145
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CVPR
2010
IEEE
15 years 1 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel
ICDE
2011
IEEE
262views Database» more  ICDE 2011»
14 years 6 months ago
Memory-constrained aggregate computation over data streams
— In this paper, we study the problem of efficiently computing multiple aggregation queries over a data stream. In order to share computation, prior proposals have suggested ins...
K. V. M. Naidu, Rajeev Rastogi, Scott Satkin, Anan...
208
Voted
ICDE
2005
IEEE
106views Database» more  ICDE 2005»
16 years 4 months ago
Effective Computation of Biased Quantiles over Data Streams
Skewis prevalentin manydata sourcessuchas IP traffic streams. To continually summarize the distribution of such data, a highbiased set of quantiles (e.g., 50th, 90th and 99th perc...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
SC
2009
ACM
15 years 10 months ago
Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation
Error Subspace Statistical Estimation (ESSE), an uncertainty prediction and data assimilation methodology employed for real-time ocean forecasts, is based on a characterization an...
Constantinos Evangelinos, Pierre F. J. Lermusiaux,...
109
Voted
SIGMOD
2001
ACM
152views Database» more  SIGMOD 2001»
16 years 3 months ago
On Computing Correlated Aggregates Over Continual Data Streams
Johannes Gehrke, Flip Korn, Divesh Srivastava