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» Function Materialization in Object Bases
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RSA
2008
81views more  RSA 2008»
14 years 12 months ago
Analyzing linear mergers
Mergers are functions that transform k (possibly dependent) random sources into a single random source, in a way that ensures that if one of the input sources has minentropy rate ...
Zeev Dvir, Ran Raz
JSW
2010
83views more  JSW 2010»
14 years 11 months ago
Estimating Model Parameters of Conditioned Soils by using Artificial Network
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
Zichang Shangguan, Shouju Li, Wei Sun, Maotian Lua...
PAMI
2010
396views more  PAMI 2010»
14 years 11 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
PR
2010
156views more  PR 2010»
14 years 11 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
PROCEDIA
2010
119views more  PROCEDIA 2010»
14 years 11 months ago
Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures
We present different kernels based on Lattice-Boltzmann methods for the solution of the twodimensional Shallow Water and Navier-Stokes equations on fully structured lattices. The...
Dirk Ribbrock, Markus Geveler, Dominik Göddek...