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» Approximations in Distributed Optimization
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PR
2007
104views more  PR 2007»
15 years 6 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
TMC
2011
203views more  TMC 2011»
15 years 1 months ago
Throughput Optimization in Mobile Backbone Networks
—This paper describes new algorithms for throughput optimization in a mobile backbone network. This hierarchical communication framework combines mobile backbone nodes, which hav...
Emily M. Craparo, Jonathan P. How, Eytan Modiano
TOG
2010
153views more  TOG 2010»
15 years 1 months ago
Content-adaptive parallax barriers: optimizing dual-layer 3D displays using low-rank light field factorization
We optimize automultiscopic displays built by stacking a pair of modified LCD panels. To date, such dual-stacked LCDs have used heuristic parallax barriers for view-dependent imag...
Douglas Lanman, Matthew Hirsch, Yunhee Kim, Ramesh...
PODC
2005
ACM
16 years 7 days ago
On the locality of bounded growth
Many large-scale networks such as ad hoc and sensor networks, peer-to-peer networks, or the Internet have the property that the number of independent nodes does not grow arbitrari...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
174
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SPAA
2010
ACM
15 years 11 months ago
Parallel approximation algorithms for facility-location problems
This paper presents the design and analysis of parallel approximation algorithms for facility-location problems, including NC and RNC algorithms for (metric) facility location, k-...
Guy E. Blelloch, Kanat Tangwongsan