[1. Girod, L., D. Estrin. Robust Range Estimation Using Acoustic and Multimodal Sensing. - In: Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2001, 1312-1320.]Search in Google Scholar
[2. Niculescu, D., B. Nath. Ad Hoc Positioning System (APS) Using AOA. - In: Proc. of 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, Rutgers University, Piscataway, 30 March-3 April 2003, 1734-1743.]Search in Google Scholar
[3. Krumm, J., G. Cermak, E. Horvitz. Right SPOT, a Novel Sense of Location for a Smart Personal Object. - In: Proc. of Ubicomp, 2003, 36-43.10.1007/978-3-540-39653-6_3]Search in Google Scholar
[4. Niculescu, D., B. Nath. DV Based Positioning in Ad Hoc Networks. - J. Telecommun. Syst., Vol. 22, 2003, 267-280.]Search in Google Scholar
[5. Shang, Y., W. Ruml, Y. Zhang, M. P. J. Fromherz. Localization from Mere Connectivity. - In: Proc. of 4th ACM Int. Symp. on Mobile Ad Hoc Networking & Computing, 2003, 201-212.10.1145/778415.778439]Search in Google Scholar
[6. Lee, H., S. Lee, Y. Kim, H. Chong. Grouping Multi-Duolateration Localization Using Partial Space Information for Indoor Wireless Sensor Networks. - IEEE Trans. on Consumer Electronics, Vol. 55, 2009, No 4, 1950-1958.10.1109/TCE.2009.5373755]Search in Google Scholar
[7. Brunato, M., R. Battiti. Statistical Learning Theory for Location Fingerprinting in Wireless LANs. - Comput. Networks, Vol. 47, 2005, 825-845.10.1016/j.comnet.2004.09.004]Search in Google Scholar
[8. Nguyen, X., M. I. Jordan, B. Sinopoli. A Kernel-Based Learning Approach to Ad Hoc Sensor Network Localization. - ACM Trans. Sensor Networks, Vol. 1, 2005, 134-152.10.1145/1077391.1077397]Search in Google Scholar
[9. Pan, J. J., J. T. Kwok, Y. Chen. Multidimensional Vector Regression for Accurate and Low- Cost Location Estimation in Pervasive Computing. - IEEE Trans. on Knowledge and Data Engineering, Vol. 18, 2006, 1181-1193.10.1109/TKDE.2006.145]Search in Google Scholar
[10. Tran, D. A., T. Nguyen. Localization in Wireless Sensor Networks Based on Support Vector Machines. - IEEE Trans. Parallel Distrib. Syst., Vol. 19, 2008, 981-994.10.1109/TPDS.2007.70800]Search in Google Scholar
[11. Joachims, T. Transductive Inference for Text Classification Using Support Vector Machines. - In: Proc. of 16th Int. Conf. on Machine Learning (ICML), San Francisco, 1999, 200-209.]Search in Google Scholar
[12. Chen, Y., G. Wang, S. Dong. A Progressive Transductive Inference Algorithm Based on Support Vector Machine. - Journal of Software, Vol. 14, 2003, No 3, 451-460.]Search in Google Scholar
[13. Cortes, C., V. Vapnik. Support-Vector Networks. - Maching Learning, Vol. 20, 1995, 273-297.10.1007/BF00994018]Search in Google Scholar
[14. Scholkopf, B., A. J. Smola. Learning with Kernels-Support Vector Machines, Regularization, Optimization and Beyond. Cambridge, MIT Press, 2002.]Search in Google Scholar
[15. Cauwenberghs, G., T. Poggio. Incremental and Decremental Support Vector Machine Learning, Advances Neural Information Processing Systems. Cambridge, MIT Press, 2001, 409-415.]Search in Google Scholar