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RSKT
2009
Springer
16 years 1 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
ATAL
2007
Springer
16 years 28 days ago
Approximate state estimation in multiagent settings with continuous or large discrete state spaces
We present a new method for carrying out state estimation in multiagent settings that are characterized by continuous or large discrete state spaces. State estimation in multiagen...
Prashant Doshi
SCALESPACE
2007
Springer
16 years 26 days ago
Combining Different Types of Scale Space Interest Points Using Canonical Sets
Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image recons...
Frans Kanters, Trip Denton, Ali Shokoufandeh, Luc ...
SMI
2006
IEEE
134views Image Analysis» more  SMI 2006»
16 years 23 days ago
Evolution of T-Spline Level Sets with Distance Field Constraints for Geometry Reconstruction and Image Segmentation
We study the evolution of T-spline level sets (i.e, implicitly defined T-spline curves and surfaces). The use of T-splines leads to a sparse representation of the geometry and al...
Huaiping Yang, Matthias Fuchs, Bert Jüttler, ...
WMTE
2006
IEEE
16 years 22 days ago
Implementation of Intelligent Agents with Mobility in Educational Robotics Settings
Teachers working in robotics classes face a major problem: how to keep track on individual students’ or even small groups’ progress in a class of 30-40 students. A multi-agent...
Ilkka Jormanainen, Chiara Moroni, Yuejun Zhang, Ki...