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» Iterated importance sampling in missing data problems
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105
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SAC
2002
ACM
15 years 8 days ago
On optimal temporal locality of stencil codes
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...
Claudia Leopold
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 2 months ago
Active Learning with Model Selection in Linear Regression
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...
Masashi Sugiyama, Neil Rubens
120
Voted
IJWIS
2007
181views more  IJWIS 2007»
15 years 16 days ago
Answering queries over incomplete data stream histories
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...
Alasdair J. G. Gray, Werner Nutt, M. Howard Willia...
96
Voted
SIGIR
2004
ACM
15 years 6 months ago
Document clustering via adaptive subspace iteration
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...
Tao Li, Sheng Ma, Mitsunori Ogihara
86
Voted
ICCV
2005
IEEE
16 years 2 months ago
Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis
In this paper, we investigate the mathematical problem underlying segmentation of hybrid motions: Given a series of tracked feature correspondences between two (perspective) image...
Shankar Rao, Allen Y. Yang, Andrew Wagner, Yi Ma