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Bag Dissimilarities for Multiple Instance Learning
David M. J. Tax
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Oznake: computer science;machine learning;instance-based learning
When objects cannot be represented well by single feature vectors, a collection of feature vectors can be used. This is what is done in Multiple Instance learning, where it is called a bag of instances. By using a bag of instances, an object gains more internal structure than when a single feature v ...
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 1
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