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ICASSP
2008
IEEE
16 years 14 days ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler
INFORMATICALT
2002
150views more  INFORMATICALT 2002»
15 years 5 months ago
Search for Dynamic Equilibrium in Duel Problems by Global Optimization
Two examples of open-loop differential games are considered in the paper. Starting with simplified dynamic Duel, further it was developed to differential economic Duel modelling pr...
Raimundas Matulevicius
EMO
2009
Springer
155views Optimization» more  EMO 2009»
16 years 18 days ago
A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point
A nadir point is constructed by the worst objective values of the solutions of the entire Pareto-optimal set. Along with the ideal point, the nadir point provides the range of obje...
Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma
IBERAMIA
2004
Springer
15 years 11 months ago
Decomposing Ordinal Sums in Neural Multi-adjoint Logic Programs
The theory of multi-adjoint logic programs has been introduced as a unifying framework to deal with uncertainty, imprecise data or incomplete information. From the applicative part...
Jesús Medina, Enrique Mérida Caserme...
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
15 years 10 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...