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CSDA
2007
128views more  CSDA 2007»
15 years 4 months ago
Computational methods for case-cohort studies
Computational methods, which can be implemented using standard Cox regression software, are given for fitting “exact” pseudolikehood estimates and robust and asymptotic varia...
Bryan Langholz, Jenny Jiao
IJCV
2000
133views more  IJCV 2000»
15 years 4 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer
IJHPCA
2002
101views more  IJHPCA 2002»
15 years 4 months ago
SCALA: A Performance System For Scalable Computing
Lack of effective performance-evaluation environments is a major barrier to the broader use of high performance computing. Conventional performance environments are based on profi...
Xian-He Sun, Thomas Fahringer, Mario Pantano
ICDE
2011
IEEE
269views Database» more  ICDE 2011»
14 years 8 months ago
Hyracks: A flexible and extensible foundation for data-intensive computing
Abstract—Hyracks is a new partitioned-parallel software platform designed to run data-intensive computations on large shared-nothing clusters of computers. Hyracks allows users t...
Vinayak R. Borkar, Michael J. Carey, Raman Grover,...
ICDE
2011
IEEE
262views Database» more  ICDE 2011»
14 years 8 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...