627 search results - page 54 / 126 » Privacy-Preserving k-NN for Small and Large Data Sets |
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CVPR
2004
IEEE
15 years 3 months ago
2004
IEEE
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
SIGSOFT
1998
ACM
15 years 3 months ago
1998
ACM
This paper reports on an empirical evaluation of the fault-detecting ability of two white-box software testing techniques: decision coverage (branch testing) and the all-uses data...
BTW
2003
Springer
15 years 4 months ago
2003
Springer
: In most commercial enterprises, information is scattered across a large number of (legacy) data stores. Moreover, it is nearly impossible to obtain funding to replace these data ...
ICML
2007
IEEE
16 years 4 days ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
GBRPR
2009
Springer
15 years 6 months ago
2009
Springer
The collection of behavior protocols is a common practice in human factors research, but the analysis of these large data sets has always been a tedious and time-consuming process....