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» Nonlinear Mapping Networks
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128
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ICCV
2009
IEEE
15 years 1 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
123
Voted
ERSHOV
2009
Springer
15 years 10 months ago
Simulation of Kohn's Molecular Interaction Maps through Translation into Stochastic CLS+
Kohn’s Molecular Interaction Maps (MIMs) are a graphical notation for describing bioregulatory networks at the molecular level. Even if the meaning of Kohn’s diagrams can be of...
Roberto Barbuti, Daniela Lepri, Andrea Maggiolo-Sc...
ICIP
2007
IEEE
15 years 9 months ago
A Novel Image Re-Indexing by Self Organizing Motor Maps
Palette re-ordering is a well known and very effective approach for improving the compression of color indexed images. If the spatial distribution of the indexes in the image is s...
Sebastiano Battiato, Francesco Rundo, Filippo Stan...
119
Voted
ACSC
2005
IEEE
15 years 9 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka
ERCIMDL
2008
Springer
101views Education» more  ERCIMDL 2008»
15 years 5 months ago
Semantic Interoperability in Archaeological Datasets: Data Mapping and Extraction Via the CIDOC CRM
Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in con...
Ceri Binding, Keith May, Douglas Tudhope