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» How Much Can We Gain from Supervised Word Alignment
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WWW
2005
ACM
14 years 11 months ago
The infocious web search engine: improving web searching through linguistic analysis
In this paper we present the Infocious Web search engine [23]. Our goal in creating Infocious is to improve the way people find information on the Web by resolving ambiguities pre...
Alexandros Ntoulas, Gerald Chao, Junghoo Cho
ASIACRYPT
2008
Springer
14 years 12 days ago
Efficient Chosen Ciphertext Secure Public Key Encryption under the Computational Diffie-Hellman Assumption
Recently Cash, Kiltz, and Shoup [20] showed a variant of the Cramer-Shoup (CS) public key encryption (PKE) scheme [21] whose chosen-ciphertext (CCA) security relies on the computa...
Goichiro Hanaoka, Kaoru Kurosawa
BMCBI
2005
104views more  BMCBI 2005»
13 years 10 months ago
Scoring functions for transcription factor binding site prediction
Background: Transcription factor binding site (TFBS) prediction is a difficult problem, which requires a good scoring function to discriminate between real binding sites and backg...
Markus T. Friberg, Peter von Rohr, Gaston H. Gonne...
AND
2010
13 years 7 months ago
Statement map: reducing web information credibility noise through opinion classification
On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes i...
Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro ...
PAMI
2007
157views more  PAMI 2007»
13 years 10 months ago
Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
—Fingerprint friction ridge details are generally described in a hierarchical order at three different levels, namely, Level 1 (pattern), Level 2 (minutia points), and Level 3 (p...
Anil K. Jain, Yi Chen, Meltem Demirkus