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» Approaching the Physical Limits of Computing
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TNN
2010
176views Management» more  TNN 2010»
15 years 1 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
PPOPP
2011
ACM
14 years 9 months ago
ScalaExtrap: trace-based communication extrapolation for spmd programs
Performance modeling for scientific applications is important for assessing potential application performance and systems procurement in high-performance computing (HPC). Recent ...
Xing Wu, Frank Mueller
204
Voted
ICCV
2011
IEEE
14 years 6 months ago
Illumination Demultiplexing from a Single Image
A class of techniques in computer vision and graphics is based on capturing multiple images of a scene under different illumination conditions. These techniques explore variations...
Christine Chen, Daniel Vaquero, Matthew Turk
CVPR
2009
IEEE
17 years 1 months ago
Stereo Matching in the Presence of Sub-Pixel Calibration Errors
Stereo matching commonly requires rectified images that are computed from calibrated cameras. Since all under- lying parametric camera models are only approximations, calibratio...
Heiko Hirschmüller, Stefan K. Gehrig
CVPR
2007
IEEE
16 years 8 months ago
A Binning Scheme for Fast Hard Drive Based Image Search
In this paper we investigate how to scale a content based image retrieval approach beyond the RAM limits of a single computer and to make use of its hard drive to store the featur...
David Nistér, Friedrich Fraundorfer, Henrik...