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» Template Generation and Selection Algorithms
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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
14 years 5 days ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
LREC
2010
189views Education» more  LREC 2010»
13 years 8 months ago
Extracting Surface Realisation Templates from Corpora
In Natural Language Generation (NLG), template-based surface realisation is an effective solution to the problem of producing surface strings from a given semantic representation,...
Thiago D. Tadeu, Eder M. de Novais, Ivandré...
ACISICIS
2009
IEEE
13 years 10 months ago
A Novel Approach Based on PCNNs Template for Fingerprint Image Thinning
A PCNNs-based square-and-triangle-template method for binary fingerprint image thinning is proposed. The algorithm is iterative, in which a combined sequential and parallel proces...
Dacheng Xu, Bailiang Li, Anton Nijholt
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
14 years 27 days ago
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
This paper introduces hyper-ellipsoids as an improvement to hyper-spheres as intrusion detectors in a negative selection problem within an artificial immune system. Since hyper-s...
Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Pete...
CVPR
2007
IEEE
14 years 9 months ago
A Novel Approach to Improve Biometric Recognition Using Rank Level Fusion
This paper proposes a novel approach for rank level fusion which gives improved performance gain verified by experimental results. In the absence of ranked features and instead of...
Jay Bhatnagar, Ajay Kumar, Nipun Saggar