421 search results - page 66 / 85 » Reducing Label Complexity by Learning From Bags |
IMC
2010
ACM
14 years 7 months ago
2010
ACM
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
85
Voted
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
80
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
88
Voted
PR
2007
14 years 9 months ago
2007
In this paper, we present a real-time image processing technique for the detection of steam in video images. The assumption made is that the presence of steam acts as a blurring p...