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ICPR
2008
IEEE
16 years 1 months ago
Augment document image binarization by learning
Conventional Binarization methods try to obtain optimal results based on the single image only. They make distinct diversity of binarization quality sometimes even for images of t...
Yuanping Zhu
164
Voted
CEAS
2006
Springer
15 years 11 months ago
Learning at Low False Positive Rates
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
Wen-tau Yih, Joshua Goodman, Geoff Hulten
202
Voted
ICML
2010
IEEE
15 years 8 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
ASPLOS
2009
ACM
16 years 8 months ago
Optimization of tele-immersion codes
As computational power increases, tele-immersive applications are an emerging trend. These applications make extensive demands on computational resources through their heavy use o...
Albert Sidelnik, I-Jui Sung, Wanmin Wu, Marí...
188
Voted
ESOP
2003
Springer
16 years 20 days ago
Tagging, Encoding, and Jones Optimality
A partial evaluator is said to be Jones-optimal if the result of specializing a self-interpreter with respect to a source program is textually identical to the source program, modu...
Olivier Danvy, Pablo E. Martínez Lóp...