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ICIP
2003
IEEE
16 years 5 months ago
Image compression with on-line and off-line learning
Images typically contain smooth regions, which are easily compressed by linear transforms, and high activity regions (edges, textures), which are harder to compress. To compress t...
Patrice Y. Simard, Christopher J. C. Burges, David...
120
Voted
ACL
2008
15 years 5 months ago
Learning Bilingual Lexicons from Monolingual Corpora
We present a method for learning bilingual translation lexicons from monolingual corpora. Word types in each language are characterized by purely monolingual features, such as con...
Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatric...
119
Voted
SMC
2010
IEEE
121views Control Systems» more  SMC 2010»
15 years 2 months ago
Learning of personalized security settings
—While many cybersecurity tools are available to computer users, their default configurations often do not match needs of specific users. Since most modern users are not computer...
Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
ICML
2007
IEEE
16 years 4 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
139
Voted
ISBI
2006
IEEE
15 years 9 months ago
Improve brain registration using machine learning methods
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
Guorong Wu, Feihu Qi, Dinggang Shen