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» Structured Relation Discovery using Generative Models
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137
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ICML
2010
IEEE
15 years 3 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
121
Voted
IPMI
1999
Springer
15 years 6 months ago
Model Generation from Multiple Volumes Using Constrained Elastic SurfaceNets
Three dimensional models of anatomical structures are currently used to aid in medical diagnosis, treatment, surgical guidance, and surgical simulation. Limitations on the resolut...
Michael E. Leventon, Sarah F. Frisken Gibson
ICCV
2007
IEEE
16 years 4 months ago
Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees
Models of activity structure for unconstrained environments are generally not available a priori. Recent representational approaches to this end are limited by their computational...
Raffay Hamid, Siddhartha Maddi, Aaron F. Bobick, I...
RECOMB
2001
Springer
15 years 7 months ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald
110
Voted
FLAIRS
2007
15 years 4 months ago
Contextual Concept Discovery Algorithm
In this paper, we focus on the ontological concept extraction and evaluation process from HTML documents. In order to improve this process, we propose an unsupervised hierarchical...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...