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» Convex and Network Flow Optimization for Structured Sparsity
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ECAI
2010
Springer
13 years 6 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...
BMCBI
2008
228views more  BMCBI 2008»
13 years 8 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
EOR
2006
104views more  EOR 2006»
13 years 8 months ago
Financial networks with intermediation: Risk management with variable weights
: In this paper, we develop a framework for the modeling, analysis, and computation of solutions to multitiered financial network problems with intermediaries in which both the sou...
Anna Nagurney, Ke Ke
APJOR
2010
131views more  APJOR 2010»
13 years 8 months ago
Metric-Preserving Reduction of Earth Mover's Distance
Earth mover's distance (EMD for short) is a perceptually meaningful dissimilarity measure between histograms. The computation of EMD reduces to a network flow optimization pro...
Yuichi Takano, Yoshitsugu Yamamoto
SAMOS
2004
Springer
14 years 2 months ago
A Novel Data-Path for Accelerating DSP Kernels
A high-performance data-path to implement DSP kernels is proposed in this paper. The data-path is based on a flexible, universal, and regular component to optimally exploiting both...
Michalis D. Galanis, George Theodoridis, Spyros Tr...