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Hsieh, Cheng‐Hsiung; Hung, W.T.; Lan, Chia-Wei

doi:10.1109/icmlc.2008.4620970

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Complex Artificial Immune System1

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2012

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“…We choose 100 trademarks of 5 classes from the trademark dataset for experiment [10]. Each trademark should be binary images in the size of 200X200 pixels.…”

Section: Experiments and Discussionmentioning

confidence: 99%

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An Affinity Based Complex Artificial Immune System and its Application on Trademark Retrieval

Wang

Wei

et al. 2012

AMR

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Recently, artificial immune system (AIS) inspired by the theory or immunology, has been developed rapidly and steadily. In this paper, we proposed an affinity based complex artificial immune system model considering the fact that the different eptitopes located on the surface of antigen can be recognized by a set of different paratopes expressed on the surface of immune cells. The experiment on trademark retrieval is performed to prove that the model proposed model has an excellent performance on retrieving the trademark images and outperforms the previously proposed algorithm.

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“…We choose 100 trademarks of 5 classes from the trademark dataset for experiment [10]. Each trademark should be binary images in the size of 200X200 pixels.…”

Section: Experiments and Discussionmentioning

confidence: 99%

“…In MHC layer, the feature of the input antigen is calculated and outputted to Th cell layer. We adopt the combination of Fourier descriptor and curvature difference [10] as the feature of a certain input antigen given by:…”

Section: Complex Artificial Immune Systemmentioning

confidence: 99%

An Affinity Based Complex Artificial Immune System and its Application on Trademark Retrieval

Wang

Wei

et al. 2012

AMR

View full text Add to dashboard Cite

show abstract

Grey image enlargement with edge enhancement

Cited by 1 publication

References 10 publications

An Affinity Based Complex Artificial Immune System and its Application on Trademark Retrieval

An Affinity Based Complex Artificial Immune System and its Application on Trademark Retrieval

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