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CORR
2006
Springer
103views Education» more  CORR 2006»
15 years 2 months ago
On Separation, Randomness and Linearity for Network Codes over Finite Fields
Siddharth Ray, Michelle Effros, Muriel Méda...
JMLR
2008
230views more  JMLR 2008»
15 years 2 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
74
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PAMI
2006
109views more  PAMI 2006»
15 years 2 months ago
Fuzzy Markov Random Fields versus Chains for Multispectral Image Segmentation
Fabien Salzenstein, Christophe Collet