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» A general algorithm for data dependence analysis
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ISNN
2009
Springer
15 years 4 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo
ICCV
2003
IEEE
15 years 12 months ago
Towards Gauge Invariant Bundle Adjustment: A Solution Based on Gauge Dependent Damping
Bundle ajustment is used to obtain accurate visual reconstructions by minimizing the reprojection error. The coordinate frame ambiguity, or more generality the gauge freedoms, has...
Adrien Bartoli
CLUSTER
2007
IEEE
15 years 4 months ago
Satisfying your dependencies with SuperMatrix
— SuperMatrix out-of-order scheduling leverages el abstractions and straightforward data dependency analysis to provide a general-purpose mechanism for obtaining parallelism from...
Ernie Chan, Field G. Van Zee, Enrique S. Quintana-...
WIDM
2003
ACM
15 years 3 months ago
Query rewriting using views in the presence of inclusion dependencies
Query rewriting using views is an essential issue in data integration. A number of algorithms, e.g., the bucket algorithm, the inverse rules algorithm, the SVB algorithm and the M...
Qingyuan Bai, Jun Hong, Michael F. McTear
CEC
2007
IEEE
14 years 11 months ago
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...