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Hyperspectral Image Classification Using Deep Pixel-Pair Features
TLDR
The deep convolutional neural network is of great interest recently. Expand
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Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery
TLDR
In this letter, we proposed a novel anomaly detection framework with transferred deep convolutional neural network (CNN) based strategy for anomaly detection in hyperspectral imagery. Expand
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FM-MAC: A Multi-Channel MAC Protocol for FANETs with Directional Antenna
TLDR
We propose a FANETs multi-channel MAC protocol called FM-MAC, which combines the advantages of multi- channel and directional antenna to provide different QoS guarantees, for example, low delay and higher reliability for safety packets. Expand
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Transferred deep learning for hyperspectral target detection
  • W. Li, Guodong Wu, Q. Du
  • Computer Science
  • IEEE International Geoscience and Remote Sensing…
  • 1 July 2017
TLDR
An interesting target detection framework with transferred deep convolutional neural network (CNN) is proposed. Expand
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Income Distribution of the R&D Alliances under the Supervision of the Third Party: Analysis Based on the Uncertain Condition
  • Xiang Wang, Guodong Wu, Weidong Meng
  • Economics, Computer Science
  • Sixth International Conference on Business…
  • 14 November 2013
TLDR
We consider a R&D alliance with a supervisor as the third party in uncertain environments. Expand
Gender, Self-Interest, and Altruism: The Evidence and Implication from Experiments
  • Guodong Wu, G. Wei
  • Economics, Computer Science
  • Sixth International Conference on Business…
  • 14 November 2013
TLDR
People are not always self-interested, but still have certain altruistic favor, which has certain gender difference. Expand
RV-MAC: A Reliable MAC Protocol for Multi-Hop VANETs
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Reachability Analysis of Asynchronous Dynamic Pushdown Networks Based on Tree Semantics Approach
TLDR
We address the context-bounded reachability problem of ADPN and provide an algorithm for backward reachability analysis with tree-based semantics Approach. Expand