  Scene models allow robots to reason about what is in the scene, what else
should be in it, and what should not be in it. In this paper, we propose a
hybrid Boltzmann Machine (BM) for scene modeling where relations between
objects are integrated. To be able to do that, we extend BM to include tri-way
edges between visible (object) nodes and make the network to share the
relations across different objects. We evaluate our method against several
baseline models (Deep Boltzmann Machines, and Restricted Boltzmann Machines) on
a scene classification dataset, and show that it performs better in several
scene reasoning tasks.
