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IJCNN
2006
IEEE
16 years 22 days ago
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
Ivor W. Tsang, James T. Kwok, Shutao Li
JMLR
2000
134views more  JMLR 2000»
15 years 6 months ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan
WISEC
2009
ACM
16 years 1 months ago
Jamming for good: a fresh approach to authentic communication in WSNs
While properties of wireless communications are often considered as a disadvantage from a security perspective, this work demonstrates how multipath propagation, a broadcast mediu...
Ivan Martinovic, Paul Pichota, Jens B. Schmitt
VIZSEC
2005
Springer
16 years 5 days ago
IDS RainStorm: Visualizing IDS Alarms
The massive amount of alarm data generated from intrusion detection systems is cumbersome for network system administrators to analyze. Often, important details are overlooked and...
Kulsoom Abdullah, Christopher P. Lee, Gregory J. C...
SENSYS
2004
ACM
16 years 3 days ago
MNP: multihop network reprogramming service for sensor networks
Reprogramming of sensor networks is an important and challenging problem as it is often necessary to reprogram the sensors in place. In this paper, we propose a multihop reprogram...
Limin Wang