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» On Structural Analysis of Large Networks
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ICDAR
2003
IEEE
15 years 9 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
SUTC
2010
IEEE
15 years 8 months ago
Data Caching in Ad Hoc Networks Using Game-Theoretic Analysis
— Extensive research has been performed to study selfish data caching in ad hoc networks using game-theoretic analysis. However, due to the caching problem’s theoretical root ...
Yutian Chen, Bin Tang
ICPR
2002
IEEE
15 years 9 months ago
Segmentation of Vector Fields by Critical Point Analysis: Application to Brain Deformation
MRI examinations may be used to monitor the progress of neurological disease. Arising structural changes can then be quantified using non-rigid registration procedures. However, ...
Gert Wollny, Marc Tittgemeyer, Frithjof Kruggel
ICONIP
2004
15 years 5 months ago
Generalization in Learning Multiple Temporal Patterns Using RNNPB
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
Masato Ito, Jun Tani
ANOR
2010
139views more  ANOR 2010»
15 years 2 months ago
Some operations research methods for analyzing protein sequences and structures
Operations Research is probably one of the most successful fields of applied mathematics used in Economics, Physics, Chemistry, almost everywhere onehastoanalyzehugeamountsofdata.L...
Piotr Lukasiak, Jacek Blazewicz, Maciej Milostan