In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
The problem of Simultaneous Localization And Mapping (SLAM) originally arose from the robotics community and is closely related to the problems of camera motion estimation and stru...
— This paper presents a robust model-based visual tracking algorithm that can give accurate 3D pose of a rigid object. Our tracking algorithm uses an incremental pose update sche...
Youngrock Yoon, Akio Kosaka, Jae Byung Park, Avina...
This paper investigates geometric and ontological aspects of shape concepts underlying the semantics of nouns. Considering the German shape nouns Ecke and Knick (corner and kink) w...
Carola Eschenbach, Christopher Habel, Lars Kulik, ...
Many strategies have been proposed to address the problems associated with managing increasingly complex computing systems. IBM's Autonomic Computing (AC) paradigm is one suc...