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» Dimensionality reduction and generalization
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CIT
2006
Springer
14 years 12 days ago
A new collision resistant hash function based on optimum dimensionality reduction using Walsh-Hadamard transform
Hash functions play the most important role in various cryptologic applications, ranging from data integrity checking to digital signatures. Our goal is to introduce a new hash fu...
Barzan Mozafari, Mohammad Hasan Savoji
BMCBI
2010
119views more  BMCBI 2010»
13 years 8 months ago
A comparison of internal validation techniques for multifactor dimensionality reduction
Background: It is hypothesized that common, complex diseases may be due to complex interactions between genetic and environmental factors, which are difficult to detect in high-di...
Stacey J. Winham, Andrew J. Slater, Alison A. Mots...
SIAMSC
2008
198views more  SIAMSC 2008»
13 years 8 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
DEXAW
2007
IEEE
157views Database» more  DEXAW 2007»
14 years 19 days ago
Dimensionality Reduction in a P2P System
Peers and data objects in the Hybrid Overlay Network (HON) are organized in a ndimensional feature space. As the dimensionality increases, peers and data objects become sparse and ...
Mouna Kacimi, Kokou Yétongnon
ESANN
2004
13 years 10 months ago
Dimensionality reduction and classification using the distribution mapping exponent
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...
Marcel Jirina