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ICASSP
2011
IEEE
14 years 9 months 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
ISIPTA
2003
IEEE
100views Mathematics» more  ISIPTA 2003»
15 years 11 months ago
Bi-elastic Neighbourhood Models
We extend Buja’s concept of “pseudo-capacities”, which comprises the neighbourhood models for classical probabilities commonly used in robust statistics. Although systematic...
Anton Wallner
KDD
1995
ACM
85views Data Mining» more  KDD 1995»
15 years 9 months ago
Estimating the Robustness of Discovered Knowledge
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
Chun-Nan Hsu, Craig A. Knoblock
EOR
2006
130views more  EOR 2006»
15 years 6 months ago
A Benders decomposition approach for the robust spanning tree problem with interval data
The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem ed...
Roberto Montemanni
TIP
1998
161views more  TIP 1998»
15 years 5 months ago
Robust anisotropic diffusion
—Relations between anisotropic diffusion and robust statistics are described in this paper. Specifically, we show that anisotropic diffusion can be seen as a robust estimation p...
Michael J. Black, Guillermo Sapiro, David H. Marim...