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Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces
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| Zeitschriftentitel: | Journal of Physics: Conference Series |
|---|---|
| Personen und Körperschaften: | , |
| In: | Journal of Physics: Conference Series, 1218, 2019, 1, S. 012045 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
IOP Publishing
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| Schlagwörter: |
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Rustam, Zuherman Faradina, Ridhani Rustam, Zuherman Faradina, Ridhani |
|---|---|
| author |
Rustam, Zuherman Faradina, Ridhani |
| spellingShingle |
Rustam, Zuherman Faradina, Ridhani Journal of Physics: Conference Series Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces General Medicine |
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rustam, zuherman |
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Rustam, Zuherman Faradina, Ridhani 1742-6588 1742-6596 IOP Publishing General Medicine http://dx.doi.org/10.1088/1742-6596/1218/1/012045 <jats:title>Abstract</jats:title><jats:p>Machine learning has been rapidly evolving and continuously developing. Many problems can be solved by machine learning. One of those is face recognition. There are many application of face recognition. One application that will be discussed in this research is face recognition to identify look-alike faces. Such application can be useful when dealing with huge data. Machine learning method that will be used is Fuzzy Kernel C-Means. This method is the modification of previous method Fuzzy C-Means. The kernel used is Radial Basis Function Kernel. Each image is characterised by its features. It is believed that reducing the number of features can also reduce the cost. Therefore, a feature selection method called Chi-Square was also used. Solving this problem in face recognition using Fuzzy Kernel C-Means resulted in quite high accuracies.</jats:p> Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces Journal of Physics: Conference Series |
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| title |
Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
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Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
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Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
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Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
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Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
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Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
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application of fuzzy kernel c-means in face recognition to identify look-alike faces |
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General Medicine |
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http://dx.doi.org/10.1088/1742-6596/1218/1/012045 |
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<jats:title>Abstract</jats:title><jats:p>Machine learning has been rapidly evolving and continuously developing. Many problems can be solved by machine learning. One of those is face recognition. There are many application of face recognition. One application that will be discussed in this research is face recognition to identify look-alike faces. Such application can be useful when dealing with huge data. Machine learning method that will be used is Fuzzy Kernel C-Means. This method is the modification of previous method Fuzzy C-Means. The kernel used is Radial Basis Function Kernel. Each image is characterised by its features. It is believed that reducing the number of features can also reduce the cost. Therefore, a feature selection method called Chi-Square was also used. Solving this problem in face recognition using Fuzzy Kernel C-Means resulted in quite high accuracies.</jats:p> |
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| description | <jats:title>Abstract</jats:title><jats:p>Machine learning has been rapidly evolving and continuously developing. Many problems can be solved by machine learning. One of those is face recognition. There are many application of face recognition. One application that will be discussed in this research is face recognition to identify look-alike faces. Such application can be useful when dealing with huge data. Machine learning method that will be used is Fuzzy Kernel C-Means. This method is the modification of previous method Fuzzy C-Means. The kernel used is Radial Basis Function Kernel. Each image is characterised by its features. It is believed that reducing the number of features can also reduce the cost. Therefore, a feature selection method called Chi-Square was also used. Solving this problem in face recognition using Fuzzy Kernel C-Means resulted in quite high accuracies.</jats:p> |
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| spelling | Rustam, Zuherman Faradina, Ridhani 1742-6588 1742-6596 IOP Publishing General Medicine http://dx.doi.org/10.1088/1742-6596/1218/1/012045 <jats:title>Abstract</jats:title><jats:p>Machine learning has been rapidly evolving and continuously developing. Many problems can be solved by machine learning. One of those is face recognition. There are many application of face recognition. One application that will be discussed in this research is face recognition to identify look-alike faces. Such application can be useful when dealing with huge data. Machine learning method that will be used is Fuzzy Kernel C-Means. This method is the modification of previous method Fuzzy C-Means. The kernel used is Radial Basis Function Kernel. Each image is characterised by its features. It is believed that reducing the number of features can also reduce the cost. Therefore, a feature selection method called Chi-Square was also used. Solving this problem in face recognition using Fuzzy Kernel C-Means resulted in quite high accuracies.</jats:p> Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces Journal of Physics: Conference Series |
| spellingShingle | Rustam, Zuherman, Faradina, Ridhani, Journal of Physics: Conference Series, Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces, General Medicine |
| title | Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
| title_full | Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
| title_fullStr | Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
| title_full_unstemmed | Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
| title_short | Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
| title_sort | application of fuzzy kernel c-means in face recognition to identify look-alike faces |
| title_unstemmed | Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces |
| topic | General Medicine |
| url | http://dx.doi.org/10.1088/1742-6596/1218/1/012045 |