20 search results - page 3 / 4 » Discriminative unsupervised learning of structured predictor... |
ACL
2007
13 years 9 months ago
2007
Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
BMCBI
2006
13 years 7 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Recent research in visual inference from monocular images has shown that discriminatively trained image-based predictors can provide fast, automatic qualitative 3D reconstructions...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...