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PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
15 years 11 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
SCALESPACE
2009
Springer
15 years 11 months ago
Momentum Based Optimization Methods for Level Set Segmentation
Abstract. Segmentation of images is often posed as a variational problem. As such, it is solved by formulating an energy functional depending on a contour and other image derived t...
Gunnar Läthén, Thord Andersson, Reiner...
UM
2009
Springer
15 years 11 months ago
Non-intrusive Personalisation of the Museum Experience
Abstract. The vast amount of information presented in museums is often overwhelming to a visitor, making it difficult to select personally interesting exhibits. Advances in mobile...
Fabian Bohnert, Ingrid Zukerman
CBMS
2008
IEEE
15 years 11 months ago
Developing Competence Assessment Procedure for Spinal Anaesthesia
Traditional approaches of assessment in the medical domain are insufficient for evaluating trainees’ technical skills. Currently, many European medical training bodies are attem...
Dajie Zhang, Dietrich Albert, Cord Hockemeyer, Dor...
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 11 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic