Görüntü Siniflandirmasi için Sözlük Toplulugu Tabanli Çoklu Örnekli Aktif Ögrenme Metodu

Translated title of the contribution: Dictionary ensemble based multi instance active learning method for image categorization

Gokhan Kocyigit, Yusuf Yaslan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Multiple Instance Learning (MIL) has become a prominent framework for image categorization problem. In MIL framework, images are described as the combination of multiple regions. Active learning in MIL framework becomes useful when large amount of unlabeled data is available and labeling is too costly to handle for each unlabeled data. In the literature, there are some researches on MI active learning but none of them take advantage of the ensemble techniques and sparse coding. In this work, we study a Dictionary Ensemble based MI Active Learning method. Experiments show that the proposed algorithm has higher classification accuracy over other techniques.

Translated title of the contributionDictionary ensemble based multi instance active learning method for image categorization
Original languageTurkish
Title of host publication2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1221-1224
Number of pages4
ISBN (Electronic)9781509016792
DOIs
Publication statusPublished - 20 Jun 2016
Event24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey
Duration: 16 May 201619 May 2016

Publication series

Name2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

Conference

Conference24th Signal Processing and Communication Application Conference, SIU 2016
Country/TerritoryTurkey
CityZonguldak
Period16/05/1619/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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