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ECCV
2006
Springer
16 years 8 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
MICCAI
2003
Springer
16 years 7 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
AMEC
2004
Springer
15 years 12 months ago
iAuctionMaker: A Decision Support Tool for Mixed Bundling
This paper presents iAuctionMaker as a novel tool that serves as a decision support for e-sourcing professionals on their pursuing of auction optimisation. Given a set of items to ...
Antonio Reyes-Moro, Juan A. Rodríguez-Aguil...
TKDE
2008
134views more  TKDE 2008»
15 years 6 months ago
Contraflow Transportation Network Reconfiguration for Evacuation Route Planning
Given a transportation network having source nodes with evacuees and destination nodes, we want to find a contraflow network configuration (that is, ideal direction for each edge) ...
Sangho Kim, Shashi Shekhar, Manki Min
AAAI
2008
15 years 8 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang