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» Improving distant supervision using inference learning
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UAI
2008
13 years 11 months ago
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspi...
Sebastian Riedel
ACL
2009
13 years 7 months ago
Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few see...
Jing Jiang
CVPR
2012
IEEE
12 years 7 days 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....
IJSI
2008
156views more  IJSI 2008»
13 years 9 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
ICPR
2008
IEEE
14 years 4 months ago
Face image retrieval by using Haar features
We propose a new method to retrieve similar face images from large face databases. The proposed method extracts a set of Haar-like features, and integrates these features with sup...
Bau-Cheng Shen, Chu-Song Chen, Hui-Huang Hsu