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ISAAC
2005
Springer
127views Algorithms» more  ISAAC 2005»
14 years 2 months ago
Decision Making Based on Approximate and Smoothed Pareto Curves
Abstract. We consider bicriteria optimization problems and investigate the relationship between two standard approaches to solving them: (i) computing the Pareto curve and (ii) the...
Heiner Ackermann, Alantha Newman, Heiko Rögli...
WORM
2003
13 years 10 months ago
Access for sale: a new class of worm
The damage inflicted by viruses and worms has been limited because the payloads that are most lucrative to malware authors have also posed the greatest risks to them. The problem...
Stuart E. Schechter, Michael D. Smith
VLDB
2005
ACM
134views Database» more  VLDB 2005»
14 years 2 months ago
MDL Summarization with Holes
Summarization of query results is an important problem for many OLAP applications. The Minimum Description Length principle has been applied in various studies to provide summarie...
Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng
ISBI
2008
IEEE
14 years 10 months ago
Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm
A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. Conventional approaches to this p...
Bing Leung, Patrick Cheung, Barry D. Van Veen
ICASSP
2011
IEEE
13 years 27 days ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman