Learning Network Topology from Simple Sensor Data
暂无分享,去创建一个
[1] A.S. Willsky,et al. Nonparametric belief propagation for self-calibration in sensor networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.
[2] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[3] Yaacov Ritov,et al. Tracking Many Objects with Many Sensors , 1999, IJCAI.
[4] David C. Moore,et al. Robust distributed network localization with noisy range measurements , 2004, SenSys '04.
[5] Leslie Pack Kaelbling,et al. Learning Topological Maps from Weak Odometric Information , 1997, IJCAI 1997.
[6] Benjamin Kuipers,et al. Towards a general theory of topological maps , 2004, Artif. Intell..
[7] Gregory Dudek,et al. Probabilistic Self-Localization for Sensor Networks , 2006, AAAI.
[8] Gregory Dudek,et al. Topological Mapping through Distributed, Passive Sensors , 2007, IJCAI.
[9] Dimitrios Makris,et al. Bridging the gaps between cameras , 2004, CVPR 2004.
[10] Gregory Dudek,et al. A practical algorithm for network topology inference , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[11] S. Shankar Sastry,et al. Instrumenting wireless sensor networks for real-time surveillance , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[12] A. Savvides,et al. Title Dynamic Fine-Grained Localization in Ad-Hoc Wireless Sensor Networks , 2001 .
[13] Frank Dellaert,et al. Data driven MCMC for Appearance-based Topological Mapping , 2005, Robotics: Science and Systems.
[14] John W. Fisher,et al. Nonparametric belief propagation for self-localization of sensor networks , 2005, IEEE Journal on Selected Areas in Communications.
[15] Keiji Nagatani,et al. Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localization , 2001, IEEE Trans. Robotics Autom..