GPU facilitated unsupervised visual feature acquisition


This paper examines the effects of parallelizing an unsupervised feature acquisition algorithm using GeneralPurpose computing on Graphics Processing Units (GPGPU). Previous work in feature learning has established the effectiveness of hierarchical learning methods that refine large quantities of elementary features into small numbers of intermediate-level… (More)
DOI: 10.1186/1471-2202-13-S1-P87