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» Invariances in kernel methods: From samples to objects
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BMCBI
2007
157views more  BMCBI 2007»
13 years 9 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
ECOOP
2006
Springer
14 years 20 days ago
Statement Annotations for Fine-Grained Advising
AspectJ-like languages are currently ineffective at modularizing heterogeneous concerns that are tightly coupled to the source code of the base program, such as logging, invariant...
Marc Eaddy, Alfred V. Aho
POPL
2005
ACM
14 years 9 months ago
Environmental acquisition revisited
In 1996, Gil and Lorenz proposed programming language constructs for specifying environmental acquisition in addition to inheritance acquisition for objects. They noticed that in ...
Richard Cobbe, Matthias Felleisen
ICIP
2004
IEEE
14 years 10 months ago
New features for affine-invariant shape classification
An object seen from different viewpoints results in differently deformed images. Affine-invariant shape classification must classify correctly the object, disregarding its viewpoi...
Carlos Ramon Pantaleon Dionisio, Hae Yong Kim
TNN
2010
234views Management» more  TNN 2010»
13 years 3 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes