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» A Preference Model for Structured Supervised Learning Tasks
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CVPR
2012
IEEE
12 years 12 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
EMNLP
2010
14 years 7 months ago
Incorporating Content Structure into Text Analysis Applications
In this paper, we investigate how modeling content structure can benefit text analysis applications such as extractive summarization and sentiment analysis. This follows the lingu...
Christina Sauper, Aria Haghighi, Regina Barzilay
ATAL
2005
Springer
15 years 3 months ago
Towards a formal model for task allocation via coalition formation
This paper focuses on the problem of generating coalition structures for task allocation via coalition formation. It provides a unified formal framework for constructing those co...
Leila Amgoud
EMNLP
2008
14 years 11 months ago
Learning Graph Walk Based Similarity Measures for Parsed Text
We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
Einat Minkov, William W. Cohen
NIPS
2008
14 years 11 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan