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PAMI
2011
15 years 1 months ago
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
Ke Chen, Shihai Wang
PAMI
2011
15 years 1 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
ICDE
2011
IEEE
269views Database» more  ICDE 2011»
14 years 10 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,...
APVIS
2011
14 years 6 months ago
Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics
Molecular dynamics is a widely used simulation technique to investigate material properties and structural changes under external forces. The availability of more powerful cluster...
Steffen Frey, Thomas Schlömer, Sebastian Grot...
ICDE
2012
IEEE
224views Database» more  ICDE 2012»
13 years 9 months ago
Exploiting Common Subexpressions for Cloud Query Processing
—Many companies now routinely run massive data analysis jobs – expressed in some scripting language – on large clusters of low-end servers. Many analysis scripts are complex ...
Yasin N. Silva, Paul-Ake Larson, Jingren Zhou