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» Word Importance Discrimination Using Context Information
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PLDI
2010
ACM
15 years 7 months ago
Breadcrumbs: Efficient Context Sensitivity for Dynamic Bug Detection Analyses
Calling context--the set of active methods on the stack--is critical for understanding the dynamic behavior of large programs. Dynamic program analysis tools, however, are almost ...
Michael D. Bond, Graham Z. Baker, Samuel Z. Guyer
NPAR
2004
ACM
15 years 3 months ago
Image fusion for context enhancement and video surrealism
We present a class of image fusion techniques to automatically combine images of a scene captured under different illumination. Beyond providing digital tools for artists for crea...
Ramesh Raskar, Adrian Ilie, Jingyi Yu
DAGSTUHL
2006
14 years 11 months ago
Automatic Meaning Discovery Using Google
We have found a method to automatically extract the meaning of words and phrases from the world-wide-web using Google page counts. The approach is novel in its unrestricted proble...
Rudi Cilibrasi, Paul M. B. Vitányi
PR
2007
148views more  PR 2007»
14 years 9 months ago
Learning the best subset of local features for face recognition
We propose a novel, local feature-based face representation method based on twostage subset selection where the first stage finds the informative regions and the second stage ...
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun,...
IUI
2000
ACM
15 years 2 months ago
Data exploration across temporal contexts
The ability to quickly explore and compare multiple scenarios is an important component of exploratory data analysis. Yet today’s interfaces cannot represent alternative explora...
Mark Derthick, Steven F. Roth