MLENN-KELM: a Prototype Selection Based Kernel Extreme Learning Machine Approach for Large-Scale Automatic Image Annotation

Journal: Advances in Computer Science : an International Journal(ACSIJ) (Vol.4, No. 5)

Publication Date: 2015-09-30

Authors : Hamid Kargar-Shooroki; Mohammad Ali Zare Chahooki; Shima Javanmardi;

Page : 95-100

Keywords : Automatic Image Annotation; Kernel Extreme Learning Machine; Large-Scale Learning Context; Prototype Selection;

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Abstract

With the fast growth of digital images in web, large-scale Automatic Image Annotation (AIA) dealt with some of critical challenges. The most important of them are system scalability and annotation performance. On the other hand, learning methods in the la

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MLENN-KELM: a Prototype Selection Based Kernel Extreme Learning Machine Approach for Large-Scale Automatic Image Annotation

Abstract

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