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» Improving distant supervision using inference learning
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99
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ICML
2010
IEEE
14 years 12 months ago
Conditional Topic Random Fields
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
Jun Zhu, Eric P. Xing
ICCV
2009
IEEE
16 years 3 months ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...
90
Voted
EACL
2006
ACL Anthology
15 years 8 days ago
Automatic Acronym Recognition
This paper deals with the problem of recognizing and extracting acronymdefinition pairs in Swedish medical texts. This project applies a rule-based method to solve the acronym rec...
Dana Dannélls
ICMLA
2009
14 years 8 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
PLDI
2004
ACM
15 years 4 months ago
Inducing heuristics to decide whether to schedule
Instruction scheduling is a compiler optimization that can improve program speed, sometimes by 10% or more—but it can also be expensive. Furthermore, time spent optimizing is mo...
John Cavazos, J. Eliot B. Moss