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CORR
2010
Springer
154views Education» more  CORR 2010»
15 years 6 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 6 months ago
Support Recovery of Sparse Signals
We study the tradeoffs between the number of measurements, the signal sparsity level, and the measurement noise level for exact support recovery of sparse signals via random noisy ...
Yuzhe Jin, Young-Han Kim, Bhaskar D. Rao
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 6 months ago
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...
CORR
2010
Springer
100views Education» more  CORR 2010»
15 years 6 months ago
Radio Interface for High Data Rate Wireless Sensor Networks
This paper gives an overview of radio interfaces devoted for high data rate Wireless Sensor Networks. Four aerospace applications of WSN are presented to underline the importance ...
Julien Henaut, Aubin Lecointre, Daniela Dragomires...
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 6 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh