Multi-Modal Data Fusion Approach Using the Structured and Sparse Principal Component Analysis (MMSSCA)-Reference-Cited by-同舟云学术

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Multi-Modal Data Fusion Approach Using the Structured and Sparse Principal Component Analysis (MMSSCA)

Published:2023-12-28 Issue: Volume: Page:386-391
ISSN:
Container-title:2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS)
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Author:

Kandpal Jyoti¹,Jonitha A²,Sivakumar Janaki³,Ray Rejon Kumar⁴

Affiliation:

1. School of Computing, Graphic Era Hill University,Dehradun,Uttarakhand,India

2. Universiti Malaysia,Faculty of Data Science & Computing,Kelantan,Malaysia

3. Global College of Engineering and Technology,Computer Science and Creative Technologies,Muscat,Oman

4. Gannon University,Department of Business analytics,Erie,PA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527408/10527413/10527489.pdf?arnumber=10527489

Reference30 articles.

1. Content-based multimedia information retrieval

2. Latent topic model for audio retrieval

3. Early versus late fusion in semantic video analysis

4. Multi-Feature Fusion via Hierarchical Regression for Multimedia Analysis

5. Multiple feature hashing for real-time large scale near-duplicate video retrieval

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