The aim of this workshop is to consolidate research efforts in the area of similarity-based pattern recognition and machine learning and to provide an informal discussion forum for researchers and practitioners interested in this important yet diverse subject.

We aim at covering a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, and from theoretical issues to real-world practical applications.

The workshop will mark the end of the EU FP7 Projects SIMBAD and is a follow-up of the ICML 2010 Workshop on Learning in non-(geo)metric spaces.

The videos of the talks are available on videolectures at http://videolectures.net/simbad2011_venice/

The LNCS proceedings of the workshop are available at the following address: http://www.springeronline.com/978-3-642-24470-4