137 search results - page 21 / 28 » On the number of local minima for the multidimensional assig... |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
ACL
2007
13 years 9 months ago
2007
Standard approaches to Chinese word segmentation treat the problem as a tagging task, assigning labels to the characters in the sequence indicating whether the character marks a w...
VLDB
2005
ACM
14 years 1 months ago
2005
ACM
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Capacity scaling is a hierarchical approach to graph representation that can improve theoretical complexity and practical efficiency of max-flow/min-cut algorithms. Introduced by ...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...