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» Learning from sensor network data
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WISEC
2009
ACM
15 years 10 months ago
Jamming for good: a fresh approach to authentic communication in WSNs
While properties of wireless communications are often considered as a disadvantage from a security perspective, this work demonstrates how multipath propagation, a broadcast mediu...
Ivan Martinovic, Paul Pichota, Jens B. Schmitt
CHI
2011
ACM
14 years 7 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
IJSNET
2008
126views more  IJSNET 2008»
15 years 3 months ago
Reliable and energy-efficient routing protocol in dense wireless sensor networks
Delivering sensed data to the sink reliably in sensor networks calls for a scalable, energy-efficient, and error-resilient routing solution. In this paper, a reliable energy-effic...
Min Chen, Taekyoung Kwon, Shiwen Mao, Yong Yuan, V...
152
Voted
WINET
2010
224views more  WINET 2010»
15 years 1 months ago
Hierarchical geographic multicast routing for wireless sensor networks
Wireless sensor networks comprise typically dense deployments of large networks of small wireless capable sensor devices. In such networks, multicast is a fundamental routing servi...
Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charl...
ECCV
2008
Springer
16 years 5 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...