Combining biometric fractal pattern and particle swarm optimization-based classifier for fingerprint recognition.
Lin, Chia-Hung, Chen, Jian-Liung, Gaing, Zwe-Lee (2010)
Mathematical Problems in Engineering
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Lin, Chia-Hung, Chen, Jian-Liung, Gaing, Zwe-Lee (2010)
Mathematical Problems in Engineering
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Huang, Li-Li, Xiao, Liang, Wei, Zhi-Hui (2011)
Mathematical Problems in Engineering
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Goran Martinović, Dražen Bajer, Bruno Zorić (2014)
International Journal of Applied Mathematics and Computer Science
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Goran Martinović, Dražen Bajer, Bruno Zorić (2014)
International Journal of Applied Mathematics and Computer Science
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Baozhen Yao, Ping Hu, Mingheng Zhang, Maoqing Jin (2014)
International Journal of Applied Mathematics and Computer Science
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Baozhen Yao, Ping Hu, Mingheng Zhang, Maoqing Jin (2014)
International Journal of Applied Mathematics and Computer Science
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Liming Yuan, Jiafeng Liu, Xianglong Tang (2014)
International Journal of Applied Mathematics and Computer Science
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Mehryar Emambakhsh, Hossein Ebrahimnezhad, Mohammad Hossein Sedaaghi (2010)
International Journal of Applied Mathematics and Computer Science
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Segmentation is the art of partitioning an image into different regions where each one has some degree of uniformity in its feature space. A number of methods have been proposed and blind segmentation is one of them. It uses intrinsic image features, such as pixel intensity, color components and texture. However, some virtues, like poor contrast, noise and occlusion, can weaken the procedure. To overcome them, prior knowledge of the object of interest has to be incorporated in a top-down...
Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2011)
Abstract and Applied Analysis
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Michał Woźniak, Bartosz Krawczyk (2012)
International Journal of Applied Mathematics and Computer Science
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This paper presents a significant modification to the AdaSS (Adaptive Splitting and Selection) algorithm, which was developed several years ago. The method is based on the simultaneous partitioning of the feature space and an assignment of a compound classifier to each of the subsets. The original version of the algorithm uses a classifier committee and a majority voting rule to arrive at a decision. The proposed modification replaces the fairly simple fusion method with a combined classifier,...
Robert Cierniak (2014)
International Journal of Applied Mathematics and Computer Science
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Francesc J. Ferri (1998)
Kybernetika
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Prototype Selection (PS) techniques have traditionally been applied prior to Nearest Neighbour (NN) classification rules both to improve its accuracy (editing) and to alleviate its computational burden (condensing). Methods based on selecting/discarding prototypes and methods based on adapting prototypes have been separately introduced to deal with this problem. Different approaches to this problem are considered in this paper and their main advantages and drawbacks are pointed out along...