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ISER
1999
Springer
114views Robotics» more  ISER 1999»
15 years 8 months ago
Continuous Probabilistic Mapping by Autonomous Robots
In this paper, we present a new approach for continuous probabilistic mapping. The objective is to build metric maps of unknown environments through cooperation between multiple au...
Jesús Salido Tercero, Christiaan J. J. Pare...
RT
2000
Springer
15 years 7 months ago
Soft Shadow Maps for Linear Lights
Soft shadows and penumbra regions generated by extended light sources such as linear and area lights are visual effects that significantly contribute to the realism of a scene. In ...
Wolfgang Heidrich, Stefan Brabec, Hans-Peter Seide...
115
Voted
NPL
2000
95views more  NPL 2000»
15 years 3 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
99
Voted
ISBI
2006
IEEE
16 years 4 months ago
Functional brain mapping with high-temporal resolution: introducing "evolutionary activation cells"
Functional image sequences obtained from image reconstruction techniques applied to Magneto and Electroencephalography (M/EEG) data convey a large amount of information in the spa...
Florence Gombert, Sylvain Baillet
ICAC
2009
IEEE
15 years 10 months ago
Experiences with scheduling and mapping games for adaptive distributed systems: summary
We apply the concept of “games with a purpose” to NPcomplete mapping and scheduling problems in distributed systems and report our experiences. The particular context is a sch...
Bin Lin, Peter A. Dinda