652 search results - page 55 / 131 » Accelerated EM-based clustering of large data sets |
RT
1998
Springer
14 years 7 days ago
1998
Springer
We propose a new method for greatly accelerating the computation of complex, detailed shadows in a radiosity solution. Radiosity is computed using a "standard" hierarchi...
CCGRID
2006
IEEE
13 years 11 months ago
2006
IEEE
P2P systems represent a large portion of the Internet traffic which makes the data discovery of great importance to the user and the broad Internet community. Hence, the power of ...
PAMI
2006
13 years 8 months ago
2006
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
ACSAC
2001
IEEE
13 years 11 months ago
2001
IEEE
It is a well-known problem that intrusion detection systems overload their human operators by triggering thousands of alarms per day. As a matter of fact, we have been asked by on...
BPM
2009
Springer
14 years 2 months ago
2009
Springer
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...