XML Retrieval Using Pruned Element-Index Files

XML based image retrieval system Noyan, Timuçin; Bozdağı, Gözde; Department of Electrical and Electronics Engineering (2000)
XML representation of component oriented models with extented connector structure. Tokgöz, Davut; Doğru, Ali Hikmet; Department of Computer Engineering (2002)
Visual Saliency Estimation via Attribute Based Classifiers and Conditional Random Field Demirel, Berkan; Cinbiş, Ramazan Gökberk; İKİZLER CİNBİŞ, NAZLI (2016-05-19) Visual Saliency Estimation is a computer vision problem that aims to find the regions of interest that are frequently in eye focus in a scene or an image. Since most computer vision problems require discarding irrelevant regions in a scene, visual saliency estimation can be used as a preprocessing step in such problems. In this work, we propose a method to solve top-down saliency estimation problem using Attribute Based Classifiers and Conditional Random Fields (CRF). Experimental results show that attribut...
Text Generation and Comprehension for Objects in Images and Videos Anayurt Özyeğin, Hazan; Kalkan, Sinan; Department of Computer Engineering (2021-9-09) Text generation from visual data is a problem often studied using deep learning, having a wide range of applications. This thesis focuses on two different aspects of this problem by proposing both supervised and unsupervised methods to solve it. In the first part of the thesis, we work on referring expression comprehension and generation from videos. We specifically work with relational referring expressions which we define to be expressions that describe an object with respect to another object. For this, ...
Metadata-based modeling of information resources on the web Ozel, SA; Altıngövde, İsmail Sengör; Ulusoy, O; Ozsoyoglu, G; Ozsoyoglu, ZM (Wiley, 2004-01-15) This paper deals with the problem of modeling Web information resources using expert knowledge and personalized user information for improved Web searching capabilities. We propose a "Web information space" model, which is composed of Web-based information resources (HTML/XML [Hypertext Markup Language/Extensible Markup Language] documents on the Web), expert advice repositories (domain-expert-specified meta-data for information resources), and personalized information about users (captured as user profiles...

Citation Formats

İ. S. Altıngövde and O. Ulusoy, “XML Retrieval Using Pruned Element-Index Files,” 2010, vol. 5993, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37999.