A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
暂无分享,去创建一个
Sebastian Thrun | Frank Pfenning | Geoffrey J. Gordon | Brennan Sellner | Brad Lisien | Mary Koes | S. Thrun | F. Pfenning | Brennan Sellner | Mary Koes | B. Lisien
[1] Kostas E. Bekris,et al. Using wireless Ethernet for localization , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[2] W. Burgard,et al. Markov Localization for Mobile Robots in Dynamic Environments , 1999, J. Artif. Intell. Res..
[3] David E. Culler,et al. Calibration as parameter estimation in sensor networks , 2002, WSNA '02.
[4] Stan Z. Li,et al. Learning spatially localized, parts-based representation , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[5] Neil J. Gordon,et al. Editors: Sequential Monte Carlo Methods in Practice , 2001 .
[6] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[7] Wolfram Burgard,et al. Using EM to learn motion behaviors of persons with mobile robots , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[8] Geoffrey E. Hinton,et al. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants , 1998, Learning in Graphical Models.
[9] Panos K. Chrysanthis,et al. On indoor position location with wireless LANs , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.
[10] Wolfram Burgard,et al. Robust Monte Carlo localization for mobile robots , 2001, Artif. Intell..
[11] David Garlan,et al. Project Aura: Toward Distraction-Free Pervasive Computing , 2002, IEEE Pervasive Comput..
[12] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[13] Michael Wallbaum,et al. WhereMoPS: an indoor geolocation system , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.
[14] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[15] David A. Landgrebe,et al. The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon , 1994, IEEE Trans. Geosci. Remote. Sens..
[16] Patrik O. Hoyer,et al. Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..
[17] Sebastian Thrun,et al. Learning to Classify Text from Labeled and Unlabeled Documents , 1998, AAAI/IAAI.
[18] Kostas E. Bekris,et al. Robotics-Based Location Sensing Using Wireless Ethernet , 2002, MobiCom '02.
[19] G. McLachlan,et al. The EM algorithm and extensions , 1996 .
[20] Vittorio Castelli,et al. On the exponential value of labeled samples , 1995, Pattern Recognit. Lett..
[21] Sebastian Thrun,et al. Text Classification from Labeled and Unlabeled Documents using EM , 2000, Machine Learning.
[22] Paramvir Bahl,et al. RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).
[23] Reid G. Simmons,et al. Probabilistic Robot Navigation in Partially Observable Environments , 1995, IJCAI.
[24] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[25] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[26] Daniel P. Siewiorek,et al. Determining User Location For Context Aware Computing Through the Use of a Wireless LAN Infrastructure , 2000 .