|
[1] E. Alpaydin, Introduction to Machine Learning. Cambridge, MA: MIT Press, 2 ed., 2010. [2] P. Bahl and V. Padmanabhan, "RADAR: an in-building RF-based user location and tracking system," in Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 2, pp. 775-784, 2000. [3] S. Sun and R. Huang, "An adaptive k-nearest neighbor algorithm," in Seventh International Conference on Fuzzy Systems and Knowledge Discovery, vol. 1, pp. 91-94, 2010. [4] J. E. Goin, "Classi cation bias of the k-nearest neighbor algorithm," Pattern Analysis and Machine Intelligence, IEEE Transactions on, no. 3, pp. 379-381, 1984. [5] M. Youssef, A. Agrawala, and A. Udaya Shankar, "WLAN location determination via clustering and probability distributions," in Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, pp. 143-150, 2003. [6] M. Youssef and A. Agrawala, "Handling samples correlation in the horus system," in Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies, vol. 2, pp. 1023-1031, 2004. [7] Y.-C. Chen, J.-R. Chiang, H.-h. Chu, P. Huang, and A. W. Tsui, "Sensorassisted Wi-Fi indoor location system for adapting to environmental dynamics," in Proceedings of international symposium on Modeling, analysis and simulation of wireless and mobile systems, pp. 118-125, 2005. [8] T.-C. Tsai, C.-L. Li, and T.-M. Lin, "Reducing calibration e ort for WLAN location and tracking system using segment technique," in International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, vol. 2, pp. 46-51, 2006. [9] C. Esposito, D. Cotroneo, and M. Ficco, "Calibrating RSS-based indoor positioning systems," in IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, pp. 1-6, 2009. [10] X. Chai and Q. Yang, "Reducing the calibration effort for location estimation using unlabeled samples," in IEEE International Conference on Pervasive Computing and Communications, pp. 95-104, 2005. [11] A. Durantini and D. Cassioli, "A multi-wall path loss model for indoor UWB propagation," in IEEE Vehicular Technology Conference, vol. 1, pp. 30-34, 2005. [12] C. M. Fonseca and P. J. Fleming, "Genetic algorithms for multiobjective optimization: Formulationdiscussion and generalization.," in ICGA, pp. 416-423, 1993. [13] X. Chai and Q. Yang, "Reducing the calibration effort for probabilistic indoor location estimation," Mobile Computing, IEEE Transactions on, vol. 6, no. 6, pp. 649-662, 2007. [14] E. Trevisani and A. Vitaletti, "Cell-ID location technique, limits and benefits: an experimental study," in IEEE Workshop on Mobile Computing Systems and Applications, pp. 51-60, 2004. [15] J. Warrior, E. McHenry, and K. McGee, "They know where you are [location detection]," Spectrum, IEEE, vol. 40, no. 7, pp. 20-25, 2003. [16] J. Hightower and G. Borriello, "Location systems for ubiquitous computing," Computer, vol. 34, no. 8, pp. 57-66, 2001. [17] T. Wigren, "Adaptive Enhanced Cell-ID fingerprinting localization by clustering of precise position measurements," Vehicular Technology, IEEE Transactions on, vol. 56, no. 5, pp. 3199-3209, 2007. [18] G. Yost and S. Panchapakesan, "Errors in automatic location identification using timing advance," in Vehicular Technology Conference, IEEE, vol. 3, pp. 1955-1958, 1998. [19] G. Xiang and B. Lina, "The prediction of indices at infall of confluent flow network of wastewater with Multivariate Linear Regression," in Control Conference, pp. 5125-5129, 2010. [20] The Mathworks Inc. [Online]. Available:www.mathworks.com. [21] S.-H. Fang and T.-N. Lin, "Robust wireless LAN location fingerprinting by SVD-based noise reduction," in International Symposium on Communications, Control and Signal Processing, pp. 295-298, 2008. [22] H. Lim, L.-C. Kung, J. C. Hou, and H. Luo, "Zero-configuration, robust indoor localization: Theory and experimentation," in IEEE International Conference on Computer Communications, pp. 1-12, 2006.
|