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BMVC
1998
13 years 6 months ago
Realisable Classifiers: Improving Operating Performance on Variable Cost Problems
A novel method is described for obtaining superior classification performance over a variable range of classification costs. By analysis of a set of existing classifiers using a r...
Martin J. J. Scott, Mahesan Niranjan, Richard W. P...
SARA
2007
Springer
13 years 11 months ago
Reformulating Constraint Satisfaction Problems to Improve Scalability
Constraint Programming is a powerful approach for modeling and solving many combinatorial problems, scalability, however, remains an issue in . Abstraction and reformulation techni...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...
EVOW
1994
Springer
13 years 9 months ago
Competitive Evolution: A Natural Approach to Operator Selection
One of the main problems in applying evolutionary optimisation methods is the choice of operators and parameter values. This paper propose a competitive evolution method, in which ...
Q. Tuan Pham
PR
2008
85views more  PR 2008»
13 years 5 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
TWC
2010
12 years 12 months ago
Lifetime-resource tradeoff for multicast traffic in wireless sensor networks
In this paper, we study the problem of supporting multicast traffic in wireless sensor networks with network coding. On one hand, coding operations can reduce power consumption and...
Vahid Shah-Mansouri, Vincent W. S. Wong