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» Computational Complexity of Probabilistic Disambiguation
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ECCV
2006
Springer
16 years 1 months ago
A Learning Based Approach for 3D Segmentation and Colon Detagging
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogo...
ICRA
2005
IEEE
130views Robotics» more  ICRA 2005»
15 years 5 months ago
Constraint-Based Motion Planning of Deformable Robots
Abstract— We present a novel algorithm for motion planning of a deformable robot in a static environment. Given the initial and final configuration of the robot, our algorithm ...
Russell Gayle, Ming C. Lin, Dinesh Manocha
DCOSS
2011
Springer
13 years 11 months ago
Construction of connected dominating sets in large-scale MANETs exploiting self-stabilization
—Available algorithms for the distributed construction of connected dominating sets in mobile ad hoc networks are inapplicable or suffer from a high complexity. This is mainly du...
Stefan Unterschutz, Volker Turau
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
15 years 6 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
DOLAP
2006
ACM
15 years 5 months ago
Pre-aggregation with probability distributions
Motivated by the increasing need to analyze complex, uncertain multidimensional data this paper proposes probabilistic OLAP queries that are computed using probability distributio...
Igor Timko, Curtis E. Dyreson, Torben Bach Pederse...