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From molecular model to sparse representation of chromatographic signals with an unknown number of peaks.
Francois Bertholon
Olivier Harant
Louise Foan
Severine Vignoud
Christian Jutten
Pierre Grangeat
Published in:
EMBC (2015)
Keyphrases
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sparse representation
piecewise smooth
data analysis
probabilistic model
em algorithm
data sets
supervised learning
compressed sensing
dictionary learning
sparse coding
image classification
signal processing
small number
knn
prior knowledge
multiscale
three dimensional
image processing