Publication Year

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Shutin, D., and T. Buchgraber, "Trading Approximation Quality Versus Sparsity Within Incremental Automatic Relevance Determination Frameworks", Machine Learning for Signal Processing Workshop (MLSP), 2012 IEEE, Santander, Spain, 2012.  Download: mlsp2012.pdf (143.13 KB)
Buchgraber, T., and D. Shutin, "Distributed Variational Sparse Bayesian Learning For Sensor Networks", Machine Learning for Signal Processing Workshop (MLSP), 2012 IEEE, Santander, Spain, 2012.  Download: MLSP2012_DistrSBL_with_some_minor_corrections.pdf (643.76 KB)
Buchgraber, T., and D. Shutin, "Sparse Bayesian Consensus-based Distributed Field Estimation", 5th International Conference on Signal Processing and Communication Systems, Honolulu, 2011.  Download: ICSPCS2011_SB_Consensus-based_Distr_Field_Est.pdf (314.06 KB)
Buchgraber, T., D. Shutin, and V. H. Poor, "A sliding-window online fast variational sparse Bayesian learning algorithm", Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, Prague, pp. 2128 -2131, May, 2011.  Download: ICASSP2011_SWOnlineFastVarSBL_with_some_minor_corrections.pdf (123.65 KB)
Shutin, D., T. Buchgraber, S. R. Kulkarni, and V. H. Poor, "Fast adaptive variational sparse Bayesian learning with automatic relevance determination", Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, Prague, pp. 2180 -2183, May, 2011.  Download: ICASSP2011_FastAdaptiveRvm.pdf (207.18 KB)
Shutin, D., and M. Mücke, "Evidence-based custom-precision estimation with applications to solving nonlinear approximation problems", 2010 IEEE International Conference on Acoustics, Speech and Signal Processing: IEEE, pp. 2094–2097, 2010. Abstract
Buchgraber, T., and D. Shutin, "Sparse Bayesian Distributed Least-Squares Strategies for Adaptive Networks", The First International School on Cyber-Physical and Sensor Networks (SensorNets 2009), Monastir, pp. 12-15, 2009.  Download: sensornets09_sparsebayesiandistributedrls.pdf (82.55 KB)
Shutin, D., "Echo State Wireless Sensor Networks", IEEE Workshop on Machine Learning for Signal Processing, vol. n/a: IEEE, pp. 151 - 156, Dec, 2008.
Shutin, D., "Sparse Bayesian Estimation of Superimposed Signal Parameters", 2nd. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, vol. n/a, pp. 273 - 276, Dec, 2007.
Shutin, D., "Tracking and Prediction of Multipath Components in Wireless MIMO Channels", Proceedings of the IEEE 65th Vehicular Technology Conference VTC2007-Spring, vol. n/a, pp. 329 - 333, Apr, 2007.
Shutin, D., G. Kubin, and B. H. Fleury, "Application of the Evidence Procedure to the Estimation of Wireless Channels", EURASIP journal on applied signal processing, vol. 2007, pp. 1 - 23, 2007.