Case Study: Ensemble Decision-Based Annotation of Unconstrained Real
  Estate Images
Miroslav Despotovic Zedong Zhang Eric Stumpe Matthias Zeppelzauer
We describe a proof-of-concept for annotating real estate images using simple
iterative rule-based semi-supervised learning. In this study, we have gained
important insights into the content characteristics and uniqueness of
individual image classes as well as essential requirements for a practical
implementation.