IF-MCA: Importance Factor-Based Multiple Correspondence Analysis for Multimedia Data Analytics

Yang, Yimin; Pouyanfar, Samira; Tian, Haiman; Chen, Min; Chen, Shu‐Ching; Shyu, Mei‐Ling

doi:10.1109/tmm.2017.2760623

Cited by 8 publications

(2 citation statements)

References 36 publications

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“…In this type of analysis, factor scores are reckoned from a frequency distribution to maximise their correlation (Petrovic et al, 2009). It is an effective technique which captures the correlations between features and classes and has been extensively used in different data mining tasks such as classification (Yang et al, 2017), feature selection (Zhu et al, 2010), and discretisation (Zhu et al, 2011).…”

Section: Methodsmentioning

confidence: 99%

Contextualisation of the Current Knowledge and Technology Transfer-Related Literature: The Text Analysis

Bureš¹,

Otčenášková²

2021

Hradec Economic Days

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The importance and relevancy of technology and knowledge transfer has been growing together with the interest and attractiveness for the organisations and institutions from both public and private sector. As a result, various literature focus on different aspects of this topic. Therefore, this paper focuses on the analysis of the current knowledge and technology transfer-related literature. It aims to identify the most mentioned keywords and topics to understand and contextualise the research field. The research methodology is based on the text analyses using the open access KH coder software. The correspondence analysis, co-occurrence network analysis, hierarchical cluster analysis and Self-Organising Map are used to reveal the results and the main topics of the discussed area. Crucial keywords strategy, policy and mission are identified. Furthermore, the technology and knowledge transfer are closely related to the learning and networking processes. The outputs also imply the three main word clusters including the academic environment, the organisational processes and projects supported by the software, and the information and knowledge management. Obviously, the discussed issues might provide the topical framework for reaching excellency as well as long-term competitive advantage.

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Section: Methodsmentioning

confidence: 99%

Contextualisation of the Current Knowledge and Technology Transfer-Related Literature: The Text Analysis

Bureš¹,

Otčenášková²

2021

Hradec Economic Days

View full text Add to dashboard Cite

show abstract

“…Imbalance data classification always seems as challenging issue in the data analytics. So, Yang et al [16] have designed a efficient framework for multimedia analysis. The presented framework uses statistical data analysis algorithm for feature selection and classification.…”

Section: Introductionmentioning

confidence: 99%

Simplified Video Surveillance Framework for Dynamic Object Detection under Challenging Environment

Chandra

M²

2019

IJECE

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An effective video surveillance system is highly essential in order to ensure constructing better form of video analytics. Existing review of literatures pertaining to video analytics are found to directly implement algorithms on the top of the video file without much emphasis on following problems i.e. i) dynamic orientation of subject, ii)poor illumination condition, iii) identification and classification of subjects, and iv) faster response time. Therefore, the proposed system implements an analytical concept that uses depth-image of the video feed along with the original colored video feed to apply an algorithm for extracting significant information about the motion blob of the dynamic subjects. Implemented in MATLAB, the study outcome shows that it is capable of addressing all the above mentioned problems associated with existing research trends on video analytics by using a very simple and non-iterative process of implementation. The applicability of the proposed system in practical world is thereby proven.

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Cross-media web video event mining based on multiple semantic-paths embedding

Xiao,

Du,

et al. 2023

Neural Comput & Applic

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IF-MCA: Importance Factor-Based Multiple Correspondence Analysis for Multimedia Data Analytics

Cited by 8 publications

References 36 publications

Contextualisation of the Current Knowledge and Technology Transfer-Related Literature: The Text Analysis

Contextualisation of the Current Knowledge and Technology Transfer-Related Literature: The Text Analysis

Simplified Video Surveillance Framework for Dynamic Object Detection under Challenging Environment

Cross-media web video event mining based on multiple semantic-paths embedding

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