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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 8 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
ICCV
2007
IEEE
16 years 8 months ago
Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction
Large-scale 3D reconstruction has recently received much attention from the computer vision community. Bundle adjustment is a key component of 3D reconstruction problems. However,...
Kai Ni, Drew Steedly, Frank Dellaert
HPCA
2006
IEEE
16 years 6 months ago
Construction and use of linear regression models for processor performance analysis
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
HPCA
2003
IEEE
16 years 6 months ago
A Statistically Rigorous Approach for Improving Simulation Methodology
Due to cost, time, and flexibility constraints, simulators are often used to explore the design space when developing a new processor architecture, as well as when evaluating the ...
Joshua J. Yi, David J. Lilja, Douglas M. Hawkins
RECOMB
2007
Springer
16 years 6 months ago
Network Motif Discovery Using Subgraph Enumeration and Symmetry-Breaking
The study of biological networks and network motifs can yield significant new insights into systems biology. Previous methods of discovering network motifs ? network-centric subgra...
Joshua A. Grochow, Manolis Kellis