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» The complexity of random ordered structures
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112
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ICML
2008
IEEE
16 years 1 months ago
Training structural SVMs when exact inference is intractable
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Thomas Finley, Thorsten Joachims
102
Voted
CVPR
2009
IEEE
16 years 7 months ago
Discriminative Structure Learning of Hierarchical Representations for Object Detection
A variety of flexible models have been proposed to detect objects in challenging real world scenes. Motivated by some of the most successful techniques, we propose a hierarchica...
Paul Schnitzspan (TU Darmstadt), Mario Fritz (Univ...
JAIR
2011
129views more  JAIR 2011»
14 years 7 months ago
Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference
Previous studies have demonstrated that encoding a Bayesian network into a SAT formula and then performing weighted model counting using a backtracking search algorithm can be an ...
Wei Li 0002, Pascal Poupart, Peter van Beek
IPPS
2007
IEEE
15 years 6 months ago
Effects of Replica Placement Algorithms on Performance of structured Overlay Networks
In DHT-based P2P systems, Replication-based content distribution and load balancing strategies consists of such decisions as which files should be replicated, how many replicas sh...
Bassam A. Alqaralleh, Chen Wang, Bing Bing Zhou, A...
GECCO
2004
Springer
15 years 6 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby