Esra Akbas

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Online social network analysis has attracted great attention with a vast number of users sharing information and availability of APIs that help to crawl online social network data. In this paper, we study the research studies that are helpful for user characterization as online users may not always reveal their true identity or attributes. We especially(More)
One of the most important problems in face recognition problem is designing the feature space which represents human face the "best". Concatenating the popular feature sets together and forming a high dimensional vector introduces the curse of dimensionality problem. For this reason, feature selection is required in order to reduce the dimension of the(More)
How should we define the feature space and which learning algorithm should we use in image retrieval problems? In this study, the Fuzzy ARTMAP[3] method and the recently popular AdaBoost[5] method are used as a learning schema for learning the best representative features in a high dimensional feature space. The retrieval and classification performances of(More)
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