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Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and to apply a classification algorithm on the filtered samples. We propose in this paper to jointly learn the filter with the classifier leading to a large margin filtering for classification. This method allows to learn the optimal cutoff frequency and phase of the filter that may be different from zero. Two methods aredoi:10.1109/icassp.2010.5495281 dblp:conf/icassp/FlamaryLR10 fatcat:q5zvlnpyr5hjjccrbwalk3g6xq