Modeling label dependencies in kernel learning for image annotation

2014 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2014.7026189 ◽

2014 ◽

Author(s):

Phong D. Vo ◽

Hichem Sahbi

Keyword(s):

Image Annotation ◽

Kernel Learning

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Nonlinear Deep Kernel Learning for Image Annotation

IEEE Transactions on Image Processing ◽

10.1109/tip.2017.2666038 ◽

2017 ◽

Vol 26 (4) ◽

pp. 1820-1832 ◽

Author(s):

Mingyuan Jiu ◽

Hichem Sahbi

Keyword(s):

Image Annotation ◽

Kernel Learning

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Sparse Kernel Learning for Image Annotation

Proceedings of International Conference on Multimedia Retrieval - ICMR '14 ◽

10.1145/2578726.2578734 ◽

2014 ◽

Author(s):

Sean Moran ◽

Victor Lavrenko

Keyword(s):

Image Annotation ◽

Kernel Learning ◽

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Image annotation by composite kernel learning with group structure

Proceedings of the 19th ACM international conference on Multimedia - MM '11 ◽

10.1145/2072298.2072049 ◽

2011 ◽

Author(s):

Ying Yuan ◽

Fei Wu ◽

Yueting Zhuang ◽

Jian Shao

Keyword(s):

Image Annotation ◽

Group Structure ◽

Kernel Learning ◽

Composite Kernel

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Deep Kernel Learning with Application to Medical Image Annotation

2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) ◽

10.1109/fskd.2018.8686904 ◽

2018 ◽

Author(s):

Gang Zhang ◽

Ling Zhong ◽

Ming Xiao ◽

Yong-Hui Huang

Keyword(s):

Medical Image ◽

Image Annotation ◽

Kernel Learning ◽

Medical Image Annotation

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Laplacian deep kernel learning for image annotation

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7471937 ◽

2016 ◽

Author(s):

Mingyuan Jiu ◽

Hichem Sahbi

Keyword(s):

Image Annotation ◽

Kernel Learning

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A multi-label image annotation scheme based on improved SVM multiple kernel learning

10.1117/12.2266104 ◽

2017 ◽

Author(s):

Cong Jin ◽

Shu-Wei Jin

Keyword(s):

Image Annotation ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Annotation Scheme ◽

Multiple Kernel

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Multiple Kernel Learning Based on Weak Learner for Automatic Image Annotation

Advances in Multimedia Information Processing – PCM 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-77383-4_6 ◽

2018 ◽

pp. 56-67

Author(s):

Hua Zhong ◽

Xu Yuan ◽

Zhikui Chen ◽

Fangming Zhong ◽

Yonglin Leng

Keyword(s):

Image Annotation ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Automatic Image Annotation ◽

Weak Learner ◽

Multiple Kernel

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Image Annotation with Bayesian Universal Background Model

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2013.01674 ◽

2013 ◽

Vol 39 (10) ◽

pp. 1674

Author(s):

Dong YANG ◽

Xiu-Ling ZHOU ◽

Ping GUO

Keyword(s):

Image Annotation ◽

Background Model ◽

Universal Background Model

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Natural Scene Image Annotation Using Local Semantic Concepts and Spatial Bag of Visual Words

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327906666160606152043 ◽

2016 ◽

Vol 6 (3) ◽

pp. 153-173

Author(s):

Yousef Alqasrawi

Keyword(s):

Image Annotation ◽

Bag Of Visual Words ◽

Natural Scene ◽

Visual Words ◽

Scene Image ◽

Semantic Concepts

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Generating semantic templates to support the image annotation process

2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology (EWIMT 2005) ◽

10.1049/ic.2005.0716 ◽

2005 ◽

Author(s):

J. Vompras ◽

S. Conrad

Keyword(s):

Image Annotation ◽

Annotation Process

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