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JMLR
2006
389views more  JMLR 2006»
15 years 6 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
TWC
2010
15 years 1 months ago
Robustness analysis and new hybrid algorithm of wideband source localization for acoustic sensor networks
Wideband source localization using acoustic sensor networks has been drawing a lot of research interest recently in wireless communication applications, such as cellular handset lo...
Kun Yan, Hsiao-Chun Wu, S. Sitharama Iyengar
ICPR
2004
IEEE
16 years 7 months ago
A System to Detect Houses and Residential Street Networks in Multispectral Satellite Images
ACT Maps are vital tools for most government agencies and consumers. However, their manual generation and updating is tedious and time consuming. As a step toward automatic map gen...
Cem Ünsalan, Kim L. Boyer
WSC
2004
15 years 8 months ago
A Case Study in Meta-Simulation Design and Performance Analysis for Large-Scale Networks
Simulation and Emulation techniques are fundamental to aid the process of large-scale protocol design and network operations. However, the results from these techniques are often ...
David W. Bauer, Garrett R. Yaun, Christopher D. Ca...
SIGMETRICS
2010
ACM
214views Hardware» more  SIGMETRICS 2010»
15 years 11 months ago
Distributed sensor network localization from local connectivity: performance analysis for the HOP-TERRAIN algorithm
This paper addresses the problem of determining the node locations in ad-hoc sensor networks when only connectivity information is available. In previous work, we showed that the ...
Amin Karbasi, Sewoong Oh