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» Extremal Problems of Information Combining
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SEMWEB
2010
Springer
13 years 7 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
COMPGEOM
2003
ACM
14 years 2 months ago
Billboard clouds
We introduce billboard clouds – a new approach for extreme simplification in the context of real-time rendering. 3D models are simplified onto a set of planes with texture and...
Xavier Décoret, Frédo Durand, Fran&c...
EXTREME
2004
ACM
14 years 26 days ago
Interpretation Beyond Markup
The meaning conveyed by documents and their markup often goes well beyond what can be inferred from the markup alone. It often depends on context, so that to interpret document ma...
David Dubin, David J. Birnbaum
ICDIM
2007
IEEE
14 years 3 months ago
A novel Variable Neighborhood Particle Swarm Optimization for multi-objective Flexible Job-Shop Scheduling Problems
This paper introduces a hybrid metaheuristic, the Variable Neighborhood Particle Swarm Optimization (VNPSO), consisting of a combination of the Variable Neighborhood Search (VNS) ...
Hongbo Liu, Ajith Abraham, Crina Grosan
CVPR
2003
IEEE
14 years 11 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik