2131 search results - page 119 / 427 » Co-Scheduling of Computation and Data on Computer Clusters |
138
click to vote
ICCV
2003
IEEE
16 years 6 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
138
click to vote
ICDM
2006
IEEE
15 years 10 months ago
2006
IEEE
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
164
click to vote
TDSC
2011
14 years 11 months ago
2011
— Most of existing privacy preserving techniques, such as k-anonymity methods, are designed for static data sets. As such, they cannot be applied to streaming data which are cont...
144
click to vote
SAC
2004
ACM
15 years 9 months ago
2004
ACM
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
153
click to vote
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...