1950 search results - page 22 / 390 » Informative sampling for large unbalanced data sets |
122
Voted
DRR
2009
15 years 18 days ago
2009
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
121
Voted
STOC
2007
ACM
16 years 3 months ago
2007
ACM
We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
144
Voted
JACM
2012
13 years 5 months ago
2012
A fundamental problem in data management is to draw and maintain a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With la...
126
Voted
INFOVIS
1995
IEEE
15 years 6 months ago
1995
IEEE
Visualizations which depict entire information spaces provide context for navigation and browsing tasks; however, the limited size of the display screen makes creating effective g...
121
Voted
CVPR
2006
IEEE
15 years 6 months ago
2006
IEEE
The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real s...