1681 search results - page 213 / 337 » A Framework for Analysis of Data Freshness |
167
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SEMWEB
2010
Springer
15 years 4 months ago
2010
Springer
The ability to answer temporal-oriented questions based on clinical narratives is essential to clinical research. The temporal dimension in medical data analysis enables clinical r...
151
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
177
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
191
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FAST
2007
15 years 8 months ago
2007
Fully distributed storage systems have gained popularity in the past few years because of their ability to use cheap commodity hardware and their high scalability. While there are...
260
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...