Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
This article identifies two significant challenges in implementing Knowledge Management Systems (KMS), then, proposes solutions based on information economics. A knowledge market ...
A knowledge representation formalism for SLU is introduced. It is used for incremental and partially automated annotation of the MEDIA corpus in terms of semantic structures. An a...
In this paper we propose a method to determine the exterior orientation of each frame of an intensity image sequence using prior knowledge of the scene stored in a pointbased envi...
We propose a region-of-interest (ROI) coding framework based on leaky prediction (LP) for robustly transporting H.264 video over error-prone network. The LP-based ROI coding can r...