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ICML
2008
IEEE
15 years 11 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
CNSR
2008
IEEE
155views Communications» more  CNSR 2008»
15 years 4 months ago
Detecting Network Anomalies Using Different Wavelet Basis Functions
Signal processing techniques have been applied recently for analyzing and detecting network anomalies due to their potential to find novel or unknown intrusions. In this paper, we...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani
IJCNN
2007
IEEE
15 years 4 months ago
Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems
— We propose a powerful symmetric kernel classifier for nonlinear detection in challenging rank-deficient multipleantenna aided communication systems. By exploiting the inheren...
Sheng Chen, Andreas Wolfgang, Chris J. Harris, Laj...
ICMLA
2007
14 years 11 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
WIOPT
2006
IEEE
15 years 4 months ago
Optimizing data replication for expanding ring-based queries in wireless sensor networks
We consider the problem of optimizing the number of replicas for event information in wireless sensor networks, when queries are disseminated using expanding rings. We obtain clos...
Bhaskar Krishnamachari, Joon Ahn