143 search results - page 20 / 29 » Unsupervised Topographic Learning for Spatiotemporal Data Mi... |
CNSR
2004
IEEE
13 years 11 months ago
2004
IEEE
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
NIPS
2007
13 years 9 months ago
2007
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
ECML
2005
Springer
13 years 9 months ago
2005
Springer
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
This work employs data mining algorithms to discover visual entities that are strongly associated to autonomously discovered modes of action, in an embodied agent. Mappings are lea...