2826 search results - page 46 / 566 » Maximal Vector Computation in Large Data Sets |
113
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TKDE
2011
14 years 6 months ago
2011
—In reality, spatial objects (e.g., hotels) not only have spatial locations but also have quality attributes (e.g., price, star). An object p is said to dominate another one p , ...
APPT
2005
Springer
15 years 5 months ago
2005
Springer
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
103
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APWEB
2010
Springer
15 years 3 months ago
2010
Springer
The skyline of a set P of multi-dimensional points (tuples) consists of those points in P for which no clearly better point in P exists, using component-wise comparison on domains ...
119
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NIPS
2008
15 years 1 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
112
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ALMOB
2006
14 years 12 months ago
2006
Given a set S of n locally aligned sequences, it is a needed prerequisite to partition it into groups of very similar sequences to facilitate subsequent computations, such as the ...