3 papers
cs.NE2018
HyperNets and their application to learning spatial transformations
Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov +2
In this paper we propose a conceptual framework for higher-order artificial neural networks. The idea of higher-order networks arises naturally when a model is required to learn so…
cs.CV2018
Vision System for AGI: Problems and Directions
Alexey Potapov, Sergey Rodionov, Maxim Peterson +3
What frameworks and architectures are necessary to create a vision system for AGI? In this paper, we propose a formal model that states the task of perception within AGI. We show t…
cs.IR2018
Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures
Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov +3
Image and video retrieval by their semantic content has been an important and challenging task for years, because it ultimately requires bridging the symbolic/subsymbolic gap. Rece…