Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Abstract. In the context of a research about application of dynamic visualisation parameters in animations for monitoring purposes, this paper reports on characteristics of dynamic...
We present HyperGraphDB, a novel graph database based on generalized hypergraphs where hyperedges can contain other hyperedges. This generalization automatically reifies every ent...
Many applications call for methods to enable automatic extraction of structured information from unstructured natural language text. Due to inherent challenges of natural language ...
This paper describes a machine learning approach for visual
object detection which is capable of processing images
extremely rapidly and achieving high detection rates. This
wor...