1218 search results - page 68 / 244 » Scaling up a |
ICDE
1996
IEEE
14 years 10 months ago
1996
IEEE
Eficient indezing of high dimensional feature vectors is important to allow visual information systems and a number other applications to scale up to large databases. In this pape...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
SOFSEM
2009
Springer
14 years 6 months ago
2009
Springer
We introduce the first process algebra with non-blocking reading actions for modelling concurrent asynchronous systems. We study the impact this new kind of actions has on fairnes...
ICSOC
2009
Springer
14 years 3 months ago
2009
Springer
Services change over time, be it for internal improvements, be it for external requirements such as new legal regulations. For long running services, it may even be necessary to ch...