171 citations · 694 across the 32 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
stat.ML2015★ 4 cited
Conditional Risk Minimization for Stochastic Processes
Alexander Zimin, Christoph H. Lampert
We study the task of learning from non-i.i.d. data. In particular, we aim at learning predictors that minimize the conditional risk for a stochastic process, i.e. the expected loss…
cs.CV2015
Identifying Reliable Annotations for Large Scale Image Segmentation
Alexander Kolesnikov, Christoph H. Lampert
Challenging computer vision tasks, in particular semantic image segmentation, require large training sets of annotated images. While obtaining the actual images is often unproblema…