| Document Date: 2013-10-21 19:44:45
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City Asuncion / / Company SVMs / Neural Networks / / / Event Product Recall / Product Issues / / Facility LIBSVM library / Imaging Institute University of Utah / NCMIR Institute / / IndustryTerm k-means algorithm / filter bank / auto-context algorithm / search code / inference algorithm / satellite image / gradient descent algorithm / overall learning algorithm / logistic disjunctive normal networks / autocontext algorithm / challenge server / found using the search code / / NaturalFeature Random Forest / / Organization NCMIR Institute / National Institute of Health / National Science Foundation / University of Utah / Salt Lake City / / Person E. Sharon / Pixel / E. Borenstein / S. Ullman / Mehdi Sajjadi / Mojtaba Seyedhosseini / / Position tree-based context model for object recognition / / Product G-mean= / precision+ / / ProgrammingLanguage T / / ProvinceOrState Wisconsin / / TVStation Wis / / Technology k-means algorithm / auto-context algorithm / neural network / autocontext algorithm / overall learning algorithm / convergence Algorithm / 2 Inference algorithm / inference algorithm / http / gradient descent algorithm / machine learning / 1 Learning algorithm / / URL http /
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Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks Mojtaba Seyedhosseini, Mehdi Sajjadi, and Tolga Tasdizen Scientific Computing and Imaging Institute University of Utah, Salt L