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» On the Number of Minimal Addition Chains
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ICPR
2008
IEEE
15 years 10 months ago
Texture classification with minimal training images
The objective of this work is classifying texture from a single image under unknown lighting conditions. The current and successful approach to this task is to treat it as a stati...
Alireza Tavakoli Targhi, Jan-Mark Geusebroek, Andr...
IPPS
2010
IEEE
14 years 7 months ago
On the parallelisation of MCMC-based image processing
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. B...
55
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GD
2009
Springer
15 years 2 months ago
On the Characterization of Level Planar Trees by Minimal Patterns
We consider characterizations of level planar trees. Healy et al. [8] characterized the set of trees that are level planar in terms of two minimal level non-planar (MLNP) patterns....
Alejandro Estrella-Balderrama, J. Joseph Fowler, S...
GLVLSI
2002
IEEE
98views VLSI» more  GLVLSI 2002»
15 years 2 months ago
Minimizing concurrent test time in SoC's by balancing resource usage
We present a novel test scheduling algorithm for embedded corebased SoC’s. Given a system integrated with a set of cores and a set of test resources, we select a test for each c...
Dan Zhao, Shambhu J. Upadhyaya, Martin Margala
JMLR
2006
150views more  JMLR 2006»
14 years 9 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian