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JMLR
2010
160views more  JMLR 2010»
13 years 4 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
ICDE
2006
IEEE
428views Database» more  ICDE 2006»
14 years 11 months ago
Integrating Unstructured Data into Relational Databases
In this paper we present a system for automatically integrating unstructured text into a multi-relational database using state-of-the-art statistical models for structure extracti...
Imran R. Mansuri, Sunita Sarawagi
ICCV
2005
IEEE
14 years 11 months ago
Scale-Invariant Contour Completion Using Conditional Random Fields
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
MDAI
2009
Springer
14 years 4 months ago
Using Conditional Random Fields for Decision-Theoretic Planning
We propose a means of extending Conditional Random Field modeling to decision-theoretic planning where valuation is dependent upon fullyobservable factors. Representation is discu...
Paul A. Ardis, Christopher M. Brown
ICDAR
2007
IEEE
14 years 4 months ago
Document Image Segmentation Using a 2D Conditional Random Field Model
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...
Stéphane Nicolas, J. Dardenne, Thierry Paqu...