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cs.CV2017
What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling
İlker Bozcan, Yağmur Oymak, İdil Zeynep Alemdar +1
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) f…
cs.RO2017
CINet: A Learning Based Approach to Incremental Context Modeling in Robots
Fethiye Irmak Doğan, İlker Bozcan, Mehmet Çelik +1
There have been several attempts at modeling context in robots. However, either these attempts assume a fixed number of contexts or use a rule-based approach to determine when to i…