Items where Institution is :Other partners > University of Michigan - U-M (USA)
Number of items at this level: 7. Park, Se Un and Dobigeon, Nicolas and Hero, Alfred O. Semi-blind sparse image reconstruction with application to MRFM. (2012) IEEE Transactions on Image Processing, vol. 21 (n° 9). pp. 3838-3849. ISSN 1057-7149 Mittelman, Roni and Dobigeon, Nicolas and Hero, Alfred O. Hyperspectral image unmixing using a multiresolution sticky HDP. (2012) IEEE Transactions on Signal Processing, vol. 60 (n°4). pp.1656-1671. ISSN 1053-587X Huang, Yongsheng and Zaas, Aimee K. and Rao, Arvind and Dobigeon, Nicolas and Woolf, Peter J. and Veldman, Timothy and Oien, N. Christine and McClain, Micah T. and Varkey, Jay B. and Nicholson, Bradley and Carin, Lawrence and Kingsmore, Stephen and Woods, Christopher W. and Ginsburg, Geoffrey S. and Hero, Alfred O. Temporal Dynamics of Host Molecular Responses Differentiate Symptomatic and Asymptomatic Influenza A Infection. (2011) PLoS Genetics, vol. 7 (n° 8). pp.1-17. ISSN 1553-7390 Dobigeon, Nicolas and Moussaoui, Saïd and Coulon, Martial and Tourneret, Jean-Yves and Hero, Alfred O. Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d’images hyperspectrales. (2010) Traitement du signal, vol. 27 (n° 1). pp. 79-108. ISSN 0765-0019 Dobigeon, Nicolas and Moussaoui, Saïd and Tourneret, Jean-Yves and Carteret, Cédric Bayesian separation of spectral sources under non-negativity and full additivity constraints. (2009) Signal Processing, vol. 8 (n° 12). pp. 2657-2669. ISSN 0165-1684 Dobigeon, Nicolas and Moussaoui, Saïd and Coulon, Martial and Tourneret, Jean-Yves and Hero, Alfred O. Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery. (2009) IEEE Transactions on Signal Processing, vol. 5 (n° 11). pp. 4355-4368. ISSN 1053-587X Dobigeon, Nicolas and Tourneret, Jean-Yves and Hero, Alfred O. Hierarchical Bayesian sparse image reconstruction with application to MRFM. (2009) IEEE Transactions on Signal Processing, vol. 1 (n° 9). pp. 2059-2070. ISSN 1053-587X |