Front Matter: Volume 10216

Download

index.pdf

Date

2017-05-10

Author

ÇAKMAK DEMİRKOL, DUYGU
Eyüboğlu, Behçet Murat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

81
views

59
downloads

This PDF file contains the front matter associated with SPIE Proceedings Volume 10216, including the Title Page, Copyright information, Table of Contents, Introduction (if any), and Conference Committee listing.

URI

https://hdl.handle.net/11511/35764

DOI

https://doi.org/10.1117/12.2280845

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

The Bolsheviks Come to Power The Revolution of 1917 in Petrograd (Book Review) Pamir Dietrich, Ayşe (2017-07-01) The book includes List of Illustrations, Acknowledgements, Note on Transliteration, Dates and Terminology, Preface to the Centenary Edition, Introduction, Sixteen Chapters, Notes, Selected Bibliography and Index. Although the Bolshevik Revolution has been the subject of numerous previously published books, Alexander Rabinowitch’s The Bolsheviks Come to Power The Revolution of 1917 in Petrograd provides an account of many less known aspects of the Bolshevik Revolution in Russia. In the Introduction, Rabino...
Creating the Empress: Politics and Poetry in the Age of Catherine II (Book Review) Pamir Dietrich, Ayşe (2017-07-01) The book contains an Introduction, eight chapters, bibliography and index. In the Introduction the author decribes her intention to discuss the relationship between political and literary symbolism in the creation of the imperial image of Catherine II, and investigates the interactions of politics, poetry, royal ceremonies, and the arts. The book introduces all the cultural aspects of Catherine’s persona, symbolic representation of her ascent to throne, her politics and her legitimacy in the literary works ...
A framework for ranking and categorizing medical documents Al Zamıl, Mohammed GH. I.; Betin Can, Aysu; Department of Information Systems (2010) In this dissertation, we present a framework to enhance the retrieval, ranking, and categorization of text documents in medical domain. The contributions of this study are the introduction of a similarity model to retrieve and rank medical textdocuments and the introduction of rule-based categorization method based on lexical syntactic patterns features. We formulate the similarity model by combining three features to model the relationship among document and construct a document network. We aim to rank ret...
Feasible Local Content Representation For Image İn Video Search On Large Video Collection Özkan, Savaş; Esen, Ersin; Akar, Gözde (null; 2016-05-16) In this paper, we tackle content-based image-in-video search on large video archive. Particularly in this problem, the computation cost of a proposed method is another important parameter that should be considered alongside of the success rate achieved due to the high volume of data. With our proposed method in this paper, content representation of multimedia data is achieved quite fast compared to other local approaches. Additionally, approximately %16 improvement is introduced at the success rate with res...
Ottoman archives explorer: A retrieval system for digital Ottoman archives Yalniz, Ismet Zeki; Altıngövde, İsmail Sengör; Güdükbay, Uvgur; Ulusoy, Özgür (Association for Computing Machinery (ACM), 2009-12-01) This article presents Ottoman Archives Explorer, a Content-Based Retrieval (CBR) system based on character recognition for printed and handwritten historical documents. Several methods for character segmentation and recognition stages are investigated. In particular, sliding-window and histogram segmentation methods are coupled with recognition approaches using spatial features, neural networks, and a graph-based model. The prototype system provides CBR of document images using both example-based queries an...

Citation Formats

D. ÇAKMAK DEMİRKOL and B. M. Eyüboğlu, “Front Matter: Volume 10216,” 2017, vol. 10216, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35764.