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ICPR
2008
IEEE
16 years 7 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
CHI
2006
ACM
16 years 7 months ago
Reality testing: HCI challenges in non-traditional environments
Non-traditional environments often change rapidly without forewarning, are difficult or impossible to control, and have other environmental and operational constraints that cannot...
Gisele Bennett, Gitte Lindgaard, Bruce Tsuji, Kay ...
IROS
2007
IEEE
143views Robotics» more  IROS 2007»
16 years 26 days ago
A framework for planning motion in environments with moving obstacles
— In this paper we present a heuristic approach to planning in an environment with moving obstacles. Our approach assumes that the robot has no knowledge of the future trajectory...
Samuel Rodríguez, Jyh-Ming Lien, Nancy M. A...
WMTE
2002
IEEE
15 years 11 months ago
Applying Wireless Technologies to Build a Highly Interactive Learning Environment
This study tries to apply wireless technologies to build a highly interactive environment. For this purpose, this study first identifies four types of interaction between the memb...
Tzu-Chien Liu, Hsue-Yie Wang, Jen-Kai Liang, Tak-W...
HCW
1998
IEEE
15 years 10 months ago
Dynamic, Competitive Scheduling of Multiple DAGs in a Distributed Heterogeneous Environment
With the advent of large scale heterogeneous environments, there is a need for matching and scheduling algorithms which can allow multiple DAG-structured applications to share the...
Michael A. Iverson, Füsun Özgüner