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Oznake: computer science;machine learning;supervised learning
The One-Shot-Similarity (OSS) is a framework for classifier-based similarity functions. It is based on the use of background samples and was shown to excel in tasks ranging from face recognition to document analysis. However, we found that its performance depends on the ability to effectively learn ...
Leto: 2011 Vir: videolectures.net
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