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» Large margin filtering for Signal Sequence Labeling
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ICASSP
2010
IEEE
13 years 8 months ago
Large margin filtering for Signal Sequence Labeling
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 t...
Rémi Flamary, Benjamin Labbé, Alain ...
ICMLA
2009
13 years 6 months ago
Structured Prediction with Relative Margin
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
Pannagadatta K. Shivaswamy, Tony Jebara
RECOMB
2003
Springer
14 years 8 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
ICASSP
2011
IEEE
13 years 7 days ago
Efficient NLMS and RLS algorithms for a class of nonlinear filters using periodic input sequences
The paper discusses computationally efficient NLMS and RLS algorithms for a broad class of nonlinear filters using periodic input sequences. The class comprises all nonlinear ...
Alberto Carini, V. John Mathews, Giovanni L. Sicur...
ICASSP
2007
IEEE
14 years 2 months ago
Fast Search of Sequences with Complex Symbol Correlations using Profile Context-Sensitive HMMS and Pre-Screening Filters
Recently, profile context-sensitive HMMs (profile-csHMMs) have been proposed which are very effective in modeling the common patterns and motifs in related symbol sequences. Pro...
Byung-Jun Yoon, P. P. Vaidyanathan