SSDBM
2010
IEEE
13 years 9 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...
TCSV
2008
13 years 11 months ago
2008
Since variable block-size motion compensation (MC) and rate-distortion optimization (RDO) techniques are adopted in H.264/MPEG-4 AVC, modes and motion vectors (MVs) in input stream...
IM
2006
13 years 11 months ago
2006
We consider the problem of computing information theoretic functions such as entropy on a data stream, using sublinear space. Our first result deals with a measure we call the &quo...
NC
1998
14 years 24 days ago
1998
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
BIRTHDAY
2008
Springer
14 years 1 months ago
2008
Springer
Event-pattern reactive programs are small programs that process an input stream of events to detect and act upon given temporal patterns. These programs are used in distributed sys...
HOTOS
2009
IEEE
14 years 3 months ago
2009
IEEE
We introduce the new Wave model for exposing the temporal relationship among the queries in data-intensive distributed computing. The model defines the notion of query series to c...