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  • G5 5 1996
  • In this chapter we present a general purpose neural architecture for segmenting 2-D and 3-D medical images. The architecture is based on a continuous Hopfield neural network including one or more sets...
  • Rating:   1 Star      Views: (1020)     Pages: ()     Uploaded: 15-05-09
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  • G5 5 1996
  • In this chapter we present a general purpose neural architecture for segmenting 2-D and 3-D medical images. The architecture is based on a continuous Hopfield neural network including one or more sets...
  • Rating:   1 Star      Views: (1020)     Pages: ()     Uploaded: 13-05-09
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  • Regularization Class of Statistical Models 2007
  • We begin with a few historical remarks about what might be called the regularization class of statistical model building methods, which include penalized likelihood, support vector machines, robust an...
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  • Minimal Polynomial Logic Properties and Extensions
  • Minimal Polynomial Logic (MPL) is a generalisation of classical propositional logic which allows truth values in the continuous interval [0; 1] and in which propositions are represented by multi-varia...
  • Rating:   1 Star      Views: (1018)     Pages: ()     Uploaded: 13-05-09
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  • Minimal Polynomial Logic Properties and Extensions
  • Minimal Polynomial Logic (MPL) is a generalisation of classical propositional logic which allows truth values in the continuous interval [0; 1] and in which propositions are represented by multi-varia...
  • Rating:   1 Star      Views: (1014)     Pages: ()     Uploaded: 13-05-09
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  • Minimal Polynomial Logic Properties and Extensions
  • Minimal Polynomial Logic (MPL) is a generalisation of classical propositional logic which allows truth values in the continuous interval [0; 1] and in which propositions are represented by multi-varia...
  • Rating:   1 Star      Views: (1023)     Pages: ()     Uploaded: 13-05-09
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