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IROS
2007
IEEE
125views Robotics» more  IROS 2007»
15 years 3 months ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
90
Voted
ECCV
2010
Springer
15 years 1 days ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
UAI
1993
14 years 11 months ago
On reasoning in networks with qualitative uncertainty
In this paper some initialwork towards a new approach to qualitative reasoning under uncertainty is presented. This method is not only applicable to qualitative probabilistic reas...
Simon Parsons, E. H. Mamdani
ECCV
2000
Springer
15 years 11 months ago
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
Abstract. This paper presents anovel variational method forimage segmentation that uni es boundary and region-based information sources under the Geodesic Active Region framework. ...
Nikos Paragios, Rachid Deriche
119
Voted
ICCV
2007
IEEE
14 years 11 months ago
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes
Development of multiple camera based vision systems for analysis of dynamic objects such as humans is challenging due to occlusions and similarity in the appearance of a person wi...
Abhinav Gupta, Anurag Mittal, Larry S. Davis