518 search results - page 25 / 104 » Estimating Missing Data in Data Streams |
DC
2008
13 years 10 months ago
2008
We study the problem of maintaining a sketch of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in wh...
SSDBM
2010
IEEE
13 years 7 months ago
2010
IEEE
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
MOBIDE
2006
ACM
14 years 3 months ago
2006
ACM
Mobile and pervasive applications frequently rely on devices such as RFID antennas or sensors (light, temperature, motion) to provide them information about the physical world. Th...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Video streams are ubiquitous in applications such as surveillance, games, and live broadcast. Processing and analyzing these data is challenging because algorithms have to be effic...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...