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» Extracting Randomness Using Few Independent Sources
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156
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ICCV
2003
IEEE
16 years 4 months ago
Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
Sanjay Tiwari, Scott Gallager
101
Voted
ICAIL
2009
ACM
15 years 6 months ago
Segmentation of legal documents
An overwhelming number of legal documents is available in digital form. However, most of the texts are usually only provided in a semi-structured form, i.e. the documents are stru...
Eneldo Loza Mencía
135
Voted
STOC
2005
ACM
150views Algorithms» more  STOC 2005»
16 years 2 months ago
Correcting errors without leaking partial information
This paper explores what kinds of information two parties must communicate in order to correct errors which occur in a shared secret string W. Any bits they communicate must leak ...
Yevgeniy Dodis, Adam Smith
131
Voted
ECLIPSE
2007
ACM
15 years 6 months ago
Predicting buggy changes inside an integrated development environment
We present a tool that predicts whether the software under development inside an IDE has a bug. An IDE plugin performs this prediction, using the Change Classification technique t...
Janaki T. Madhavan, E. James Whitehead Jr.
86
Voted
STOC
2010
ACM
189views Algorithms» more  STOC 2010»
15 years 11 months ago
Near-optimal extractors against quantum storage
We give near-optimal constructions of extractors secure against quantum bounded-storage adversaries. One instantiation gives the first such extractor to achieve an output length (...
Anindya De and Thomas Vidick