Browsing by Keywords "Similarity measure"
Now showing items 1-6 of 6
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Alignment of uncalibrated images for multi-view classification
(IEEE, 2011)Efficient solutions for the classification of multi-view images can be built on graph-based algorithms when little information is known about the scene or cameras. Such methods typically require a pair-wise similarity ... -
Görsel arama sonuçlarının çoklu örnekle öğrenme yöntemiyle yeniden sıralanması
(IEEE, 2012-04)Bu çalışmada, çoklu öğrenme yöntemi ile metin tabanlı arama motorlarından elde edilen görsel sorgu sonuçlarını iyileştirmek için geliştirilmiş olan, zayıf denetimli öğrenen bir yöntem sunulmaktadır. Bu yöntemde arama ... -
L1 norm based multiplication-free cosine similarity measures for big data analysis
(IEEE, 2014-11)The cosine similarity measure is widely used in big data analysis to compare vectors. In this article a new set of vector similarity measures are proposed. New vector similarity measures are based on a multiplication-free ... -
New event detection and topic tracking in Turkish
(John Wiley & Sons, Inc., 2010)Topic detection and tracking (TDT) applications aim to organize the temporally ordered stories of a news stream according to the events. Two major problems in TDT are new event detection (NED) and topic tracking (TT). These ... -
Stylistic document retrieval for Turkish
(IEEE, 2009-09)In information retrieval (IR) systems, there are a query and a collection of documents compared with this query and ranked according to a particular similarity measure. Since texts with the same content can be written by ... -
Topic tracking using chronological term ranking
(2013-10)Topic tracking (TT) is an important component of topic detection and tracking (TDT) applications. TT algorithms aim to determine all subsequent stories of a certain topic based on a small number of initial sample stories. ...