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CORR
2007
Springer
104views Education» more  CORR 2007»
15 years 1 months ago
The Parameter-Less Self-Organizing Map algorithm
—The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing ...
Erik Berglund, Joaquin Sitte
MICCAI
2006
Springer
16 years 2 months ago
Logarithm Odds Maps for Shape Representation
The concept of the Logarithm of the Odds (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology. Here, we utilize LogOdds for a shape repr...
Kilian M. Pohl, John W. Fisher III, Martha Elizabe...
EPK
2006
84views Management» more  EPK 2006»
15 years 3 months ago
Nautilus Event-driven Process Chains: Syntax, Semantics, and their Mapping to BPEL
Abstract: Nautilus Event-driven Process Chains (N-EPCs) are a variant of Eventdriven process chains allowing multiple events between functions. This allows events to be used as tra...
Oliver Kopp, Tobias Unger, Frank Leymann
BC
2010
57views more  BC 2010»
14 years 11 months ago
Mappings between a macroscopic neural-mass model and a reduced conductance-based model
We present two alternative mappings between a macroscopic neural mass model and a reduction of a conductance-based model. These provide possible explanations of the relationship b...
Serafim Rodrigues, Anton V. Chizhov, Frank Marten,...
99
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ISCAS
2005
IEEE
122views Hardware» more  ISCAS 2005»
15 years 7 months ago
Towards a rigorous formulation of the space mapping technique for engineering design
—This paper deals with the Space Mapping (SM) approach to engineering design optimization. We attempt here a theoretical justification of methods that have already proven efficie...
Slawomir Koziel, John W. Bandler, Kaj Madsen