Visual concept detection by stacked generalization

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2014

Öğrenci: MASHAR TEKİN

Danışman: FATOŞ TUNAY YARMAN VURAL

Özet:

In this thesis, we propose a new Stacked Generalization method, called Fuzzy Stacked Generalized Ranking Optimizer, to optimize the ranking performances of visual concept detection systems. In the proposed method, fuzzy k-NN classifiers are employed in the base-layer. Then, a classifier selection algorithm is employed to select the classifiers which will be combined in meta-layer. Finally, the results of the selected classifiers are combined and classified by a fuzzy k-NN meta classifier. In the experiments, the proposed method performs better than the state of the art ensemble learning methods.