5M: Multi-Instance Multi-Cluster based Weakly Supervised MIL Model for Multimedia Data Mining

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5M: Multi-Instance Multi-Cluster based Weakly Supervised MIL Model for Multimedia Data Mining

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Abstract

The high pace rise in online as well as offline multimedia un annotated data and associated mining applications have demanded certain efficient mining algorithm. Multiple instance learning (MIL) has emerged as one of the most effective solutions for huge un annotated data mining. Still, it requires enhancement in instance selection to enable optimal mining and classification of huge multimedia data. Considering critical multimedia mining applications, such as medical data processing or content based information retrieval, the instance verification can be of great significance to optimize MIL. With this motivation, in this paper, Multi-Instance, Multi-Cluster based MIL scheme (MIMC-MIL) has been proposed to perform efficient multimedia data mining and classification with huge un annotated data with different features. The proposed system employs soft max approximation techniques with a novel loss factor and inter-instance distance based weight estimation scheme for instance probability substantiation in bags.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Girisha GS, Dr. K. Udaya Kumar. 2016. "5M: Multi-Instance Multi-Cluster based Weakly Supervised MIL Model for Multimedia Data Mining". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C3).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-C Classification H.2.4 H.2.8
Version of record

v1.2

Issue date
July 1, 2016

Language
English
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5M: Multi-Instance Multi-Cluster based Weakly Supervised MIL Model for Multimedia Data Mining

Girisha GS
Girisha GS BNM Institute of Technology
Dr. Kumar
Dr. Kumar