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» Reformulating Constraint Models Using Input Data
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IPPS
2009
IEEE
16 years 1 months ago
Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA
Emerging DNA sequencing technologies open up exciting new opportunities for genome sequencing by generating read data with a massive throughput. However, produced reads are signif...
Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang...
FOCS
2008
IEEE
16 years 24 days ago
On the Value of Multiple Read/Write Streams for Approximating Frequency Moments
We consider the read/write streams model, an extension of the standard data stream model in which an algorithm can create and manipulate multiple read/write streams in addition to...
Paul Beame, Dang-Trinh Huynh-Ngoc
COCOON
2005
Springer
15 years 12 months ago
Finding Longest Increasing and Common Subsequences in Streaming Data
In this paper, we present algorithms and lower bounds for the Longest Increasing Subsequence (LIS) and Longest Common Subsequence (LCS) problems in the data streaming model. For t...
David Liben-Nowell, Erik Vee, An Zhu
KAIS
2000
131views more  KAIS 2000»
15 years 6 months ago
Intentions in the Coordinated Generation of Graphics and Text from Tabular Data
To use graphics efficiently in an automatic report generation system, one has to model messages and how they go from the writer (intention) to the reader (interpretation). This pap...
Massimo Fasciano, Guy Lapalme
CVPR
2011
IEEE
15 years 1 months ago
Learning structured prediction models for interactive image labeling
We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...
Thomas Mensink, Jakob Verbeek, Gabriela Csurka