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GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
13 years 10 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
ICRA
2008
IEEE
125views Robotics» more  ICRA 2008»
13 years 11 months ago
Place recognition-based fixed-lag smoothing for environments with unreliable GPS
— Pose estimation of outdoor robots presents some distinct challenges due to the various uncertainties in the robot sensing and action. In particular, global positioning sensors ...
Roozbeh Mottaghi, Michael Kaess, Ananth Ranganatha...
ICRA
2000
IEEE
139views Robotics» more  ICRA 2000»
13 years 9 months ago
Appearance-Based Place Recognition for Topological Localization
This paper presents a new appearance-based place recognition system for topological localization. The method uses a panoramic vision system to sense the environment. Color images ...
Iwan Ulrich, Illah R. Nourbakhsh

Publication
819views
15 years 4 months ago
Continuous Query Processing of Spatio-temporal Data Streams in PLACE
The tremendous increase in the use of cellular phones, GPS-like devices, and RFIDs results in highly dynamic environments where objects as well as queries are continuously moving. ...
Mohamed F. Mokbel, Xiaopeng Xiong, Moustafa A. Ham...
CEC
2009
IEEE
13 years 11 months ago
Hyper-learning for population-based incremental learning in dynamic environments
— The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied...
Shengxiang Yang, Hendrik Richter