Dissimilarity-Based Ensembles for Multiple Instance Learning
نویسندگان
چکیده
منابع مشابه
Dissimilarity-Based Multiple Instance Learning
In this paper, we propose to solve multiple instance learning problems using a dissimilarity representation of the objects. Once the dissimilarity space has been constructed, the problem is turned into a standard supervised learning problem that can be solved with a general purpose supervised classifier. This approach is less restrictive than kernelbased approaches and therefore allows for the ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks and Learning Systems
سال: 2016
ISSN: 2162-237X,2162-2388
DOI: 10.1109/tnnls.2015.2424254