A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
Large margin filtering for Signal Sequence Labeling
2010
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
Preserved Fulltext
Other Versions
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 are
doi:10.1109/icassp.2010.5495281
dblp:conf/icassp/FlamaryLR10
fatcat:q5zvlnpyr5hjjccrbwalk3g6xq