The 23rd MLSP workshop in the series of workshops organized by the IEEE Signal<br>Processing Society MLSP Technical Committee will present the most recent and<br>exciting advances in machine learning for signal processing through keynote<br>talks, tutorials as well as special and regular single–track sessions. Prospective<br>authors are invited to submit papers on relevant algorithms and applications<br>including, but not limited to:<br>– Learning theory and techniques<br>– Graphical models and kernel methods<br>– Data–driven adaptive systems and models<br>– Pattern recognition and classification<br>– Distributed, Bayesian, subspace/manifold and sparsity–aware learning<br>– Multiset data analysis and multimodal data fusion<br>– Perceptual signal processing in audio, image and video<br>– Cognitive information processing<br>– Applications, including:<br>– Speech, audio and video<br>– Music processing<br>– Biomedical imaging<br>– Communications<br>– Bioinformatics<br>– Computational genomics<br>– Social networks<br>– Biometrics<br>– Energy and smart grid<br>
Abbrevation
MLSP
City
Surrey
Country
UK
Deadline Paper
Start Date
End Date
Abstract