This report documents the program and the outcomes of Dagstuhl Seminar 11341 "Learning in the context of very high dimensional data". The aim of the seminar was to bring together researchers who develop, investigate, or apply machine learning methods for very high dimensional data to advance this important field of research. The focus was be on broadly applicable methods and processing pipelines, which offer efficient solutions for high-dimensional data analysis appropriate for a wide range of application scenarios.
['Michael Biehl', 'Barbara Hammer', 'Erzsebet Merenyi', 'Alessandro Sperduti', 'Thomas Villman']
Learning in the context of very high dimensional data (Dagstuhl Seminar 11341)