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» Optimal transfer function neural networks
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BMCBI
2004
176views more  BMCBI 2004»
13 years 7 months ago
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
Kai Huang, Robert F. Murphy
IMC
2009
ACM
14 years 2 months ago
The importance of being overheard: throughput gains in wireless mesh networks
A flurry of recent work has focused on the performance gains that may be achieved by leveraging the broadcast nature of the wireless channel. In particular, researchers have obse...
Mikhail Afanasyev, Alex C. Snoeren
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 1 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
CORR
2004
Springer
208views Education» more  CORR 2004»
13 years 7 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham
TNN
2010
176views Management» more  TNN 2010»
13 years 2 months ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song