548 search results - page 21 / 110 » Iterated importance sampling in missing data problems |
SAC
2002
ACM
14 years 10 months ago
2002
ACM
Iterative solvers such as the Jacobi and Gauss-Seidel relaxation methods are important, but time-consuming building blocks of many scientific and engineering applications. The per...
129
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SDM
2008
SIAM
15 years 8 days ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
102
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IJWIS
2007
14 years 10 months ago
2007
Streams of data often originate from many distributed sources. A distributed stream processing system publishes such streams of data and enables queries over the streams. This allo...
81
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SIGIR
2004
ACM
15 years 4 months ago
2004
ACM
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
ICCV
2005
IEEE
16 years 23 days ago
2005
IEEE
In this paper, we investigate the mathematical problem underlying segmentation of hybrid motions: Given a series of tracked feature correspondences between two (perspective) image...