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SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
14 years 9 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
CORR
2012
Springer
170views Education» more  CORR 2012»
14 years 2 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 8 months ago
Transparent user models for personalization
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jur...
STOC
2012
ACM
251views Algorithms» more  STOC 2012»
13 years 8 months ago
Minimax option pricing meets black-scholes in the limit
Option contracts are a type of financial derivative that allow investors to hedge risk and speculate on the variation of an asset’s future market price. In short, an option has...
Jacob Abernethy, Rafael M. Frongillo, Andre Wibiso...
CVPR
2012
IEEE
13 years 8 months ago
Bag of textons for image segmentation via soft clustering and convex shift
We propose an unsupervised image segmentation method based on texton similarity and mode seeking. The input image is first convolved with a filter-bank, followed by soft cluster...
Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu