Publication Year

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