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» Selectivity estimation in spatial networks
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IEEEHPCS
2010
13 years 4 months ago
Calculating the impact factor of neural networks on optimization algorithm for sensor selection
Intelligent sensor selection for monitoring operations is one of the serious subjects to reduce information processing time and increase information fusion accuracy. This paper at...
Abdolhossein Alipoor, Touraj Banirostam, Mehdi N. ...
ICANN
2009
Springer
14 years 4 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
IMC
2005
ACM
14 years 3 months ago
Facilitating Access Point Selection in IEEE 802.11 Wireless Networks
The performance experienced by wireless clients in IEEE 802.11 wireless networks heavily depends on the clients’ ability to identify the Access Point (AP) that will offer the be...
Sudarshan Vasudevan, Konstantina Papagiannaki, Chr...
IPSN
2005
Springer
14 years 3 months ago
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
Erhan Baki Ermis, Venkatesh Saligrama
ICDCS
2008
IEEE
14 years 4 months ago
Measurement Manipulation and Space Selection in Network Coordinates
Internet coordinate systems have emerged as an efficient method to estimate the latency between pairs of nodes without any communication between them. However, most coordinate sy...
Cristian Lumezanu, Neil Spring