Titlebook: KI 2011: Advances in Artificial Intelligence; 34th Annual German C Joscha Bach,Stefan Edelkamp Conference proceedings 2011 Springer-Verlag

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Speedy Local Search for Semi-Supervised Regularized Least-Squares,proving the prediction performance by taking both the labeled as well as the unlabeled part of the data into account. In particular, semi-supervised support vector machines favor decision hyperplanes which lie in a “low-density area” induced by the unlabeled patterns (while still considering the lab

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Model-Based Object Recognition from 3D Laser Data,location and 6DoF pose of these models and verify them by matching a CAD model of the object into the point cloud. Our method only needs a CAD model of each object class; no previous training is required.

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Swarm Intelligence for Medical Volume Segmentation: The Contribution of Self-reproduction,t and high noise. To deal with this issue we propose a segmentation algorithm based on Ant Colony Optimization (ACO) and evolutionary selection of ants for self reproduction. The self reproduction approach is no standard for ACO, but appears to be crucial for volume segmentation. This investigation

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Cultivate

BetterRelations: Using a Game to Rate Linked Data Triples,order to build a collection of such edge weights, we created a web-game prototype that ranks triples by importance. In this paper we briefly describe the game, Linked Data preprocessing aspects, and the promising results of an evaluation of the game.

bypass

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Bayesian Logic Networks and the Search for Samples with Backward Simulation and Abstract Constrainted networks with probabilistic and deterministic constraints, BLNs combine the probabilistic semantics of (relational) Bayesian networks with constraints in first-order logic. In practical applications, efficient inference in statistical relational models such as BLNs is a key concern. Motivated by

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