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My ICASSP 2017 Schedule

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Paper Detail

Paper:MLSP-L4.5
Session:Tensor and Structured Matrix Methods II
Session Time:Wednesday, March 8, 13:30 - 15:30
Presentation Time:Wednesday, March 8, 14:50 - 15:10
Presentation: Lecture
Topic: Machine Learning for Signal Processing: Bayesian Learning and Modeling
Paper Title: A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy
Authors: Tommy S. Alstrøm; Technical University of Denmark 
 Mikkel N. Schmidt; Technical University of Denmark 
 Tomas Rindzevicius; Technical University of Denmark 
 Anja Boisen; Technical University of Denmark 
 Jan Larsen; Technical University of Denmark