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» Some Structural Complexity Aspects of Neural Computation
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ACSC
2006
IEEE
14 years 3 months ago
A framework for visual data mining of structures
Visual data mining has been established to effectively analyze large, complex numerical data sets. Especially, the extraction and visualization of inherent structures such as hie...
Hans-Jörg Schulz, Thomas Nocke, Heidrun Schum...
COCOON
2009
Springer
14 years 3 months ago
Determination of Glycan Structure from Tandem Mass Spectra
Glycans are molecules made from simple sugars that form complex tree structures. Glycans constitute one of the most important protein modifications, and identification of glycans...
Sebastian Böcker, Birte Kehr, Florian Rasche
SGAI
2010
Springer
13 years 3 months ago
A Structural Approach to Sensor Placement based on Symbolic Compilation of the Model
: In the present paper we address the problem of computing the Minimal Additional Sensor Sets (MASS) that guarantee a desired level of diagnostic discrimination for a system. Recen...
Gianluca Torta, Pietro Torasso
IPPS
1999
IEEE
14 years 1 months ago
An Object-Oriented Environment for Sparse Parallel Computation on Adaptive Grids
Many numerical solutions of large scale simulation models require finer discretizations in some regions of the computational grid. When this region is not known in advance, adapti...
Salvatore Filippone, Michele Colajanni, Dario Pasc...
PSD
2004
Springer
132views Database» more  PSD 2004»
14 years 2 months ago
Computational Experiments with Minimum-Distance Controlled Perturbation Methods
Minimum-distance controlled perturbation is a recent family of methods for the protection of statistical tabular data. These methods are both efficient and versatile, since can dea...
Jordi Castro