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» Supervised Graph Inference
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EMNLP
2010
13 years 5 months ago
Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Jordan L. Boyd-Graber, Philip Resnik
ICCV
2007
IEEE
14 years 9 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
COCOON
2006
Springer
13 years 11 months ago
A Detachment Algorithm for Inferring a Graph from Path Frequency
: Inferring graphs from path frequency has been studied as an important problem which has a potential application to drug design and elucidation of chemical structures. Given a mul...
Hiroshi Nagamochi
NIPS
2007
13 years 9 months ago
Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
In this paper we formulate a novel AND/OR graph representation capable of describing the different configurations of deformable articulated objects such as horses. The representa...
Yuanhao Chen, Long Zhu, Chenxi Lin, Alan L. Yuille...