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» Propagating Class and Method Combination
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FLAIRS
2000
14 years 11 months ago
Overriding the Experts: A Stacking Method for Combining Marginal Classifiers
The design of an optimal Bayesian classifier for multiple features is dependent on the estimation of multidimensional joint probability density functions and therefore requires a ...
Mark D. Happel, Peter Bock
AUTOMATICA
2000
89views more  AUTOMATICA 2000»
14 years 9 months ago
Interval constraint propagation with application to bounded-error estimation
: For a large class of bounded-error estimation problems, the posterior feasible set 5 for the parameters can be dened by nonlinear inequalities. The set-inversion approach combine...
Luc Jaulin
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
14 years 8 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
ECOOP
2004
Springer
15 years 3 months ago
Pointer Analysis in the Presence of Dynamic Class Loading
Many compiler optimizations and software engineering tools need precise pointer analyses to be effective. Unfortunately, many Java features, such as dynamic class loading, refle...
Martin Hirzel, Amer Diwan, Michael Hind
ECCV
2006
Springer
15 years 11 months ago
Fast Memory-Efficient Generalized Belief Propagation
Generalized Belief Propagation (gbp) has proven to be a promising technique for performing inference on Markov random fields (mrfs). However, its heavy computational cost and large...
M. Pawan Kumar, Philip H. S. Torr