| Authors | Hassan Homayoun,Amin Hanaei Ahwaz |
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| Conference Title | 3rd International Conference on Pattern Recognition and Image Analysis (IPRIA 2017) April 19-20, 2017 |
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| Holding Date of Conference | 2017-04-19 - 2017-04-20 |
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| Event Place | 1 - شهرکرد |
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| Presented by | شهرکرد |
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| Presentation | SPEECH |
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| Conference Level | International Conferences |
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Abstract
Unknown awareness is very important for many
applications such as face recognition. In a typical unknown
aware classifier, an “unknown” label is assigned to strange test
instances. This study proposes an unknown aware classifier
known as UAkNN by extending the well-known kNN classifier. In
UAkNN, unknown awareness is achieved by exploiting distances
between instances of individual classes. These distances and their
related statistics are used to confirm the kNN prediction or
change it to “unknown”. Average accuracy of 85 percent based
on the Iris dataset by using 5-fold cross validation has been
achieved. Experimental results demonstrate that UAkNN is
promising under various test situation
