Özge Öztimur Karadag

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Automatic image annotation is the process of assigning keywords to digital images depending on the content information. In one sense, it is a mapping from the visual content information to the semantic context information. In this study, we propose a novel approach for automatic image annotation problem, where the annotation is formulated as a multivariate(More)
The relationship between genetic variability and individual phenotypes is usually investigated by testing for association relying on called genotypes. Allele counts obtained from next-generation sequence data could be used for this purpose too. Genetic association can be examined by treating alternative allele counts (AACs) as the response variable in(More)
The aim of this study is to calculate sample size and power for several varieties of general full factorial designs, in order to help researchers to avoid the waste of resources by collecting surplus data before designing experiments. It was found out that the calculations were significantly affected by many factors in full factorial experimental designs,(More)
In the recent studies image segmentation and object recognition are handled cooperatively. Majority of those studies employ supervised or semi-supervised training by providing labels. However, providing labeling is too laborious. For this reason, we propose using prior knowledge on domain information instead of class labels. Given the domain knowledge the(More)
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