An Introduction to the Application of Tensorial Manifold Learning Methods in the Digital Image Processing and Computer Vision

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YAZDANI H.R.; Shojaeifard A.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF MATHEMATICAL MODELLING & COMPUTATION Year:2022 | Volume:12 | Issue:1 Page(s): 27-35

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Title

An Introduction to the Application of Tensorial Manifold Learning Methods in the Digital Image Processing and Computer Vision

Author(s)

YAZDANI H.R. | Shojaeifard A. | Issue Writer Certificate

Keywords

Image recovery

Image recognition

Manifold learning

Tensors

Tensor completion

Abstract

Tensors as vector fields structures and manifolds as great geometrical-topological structures have many applications in the fields of big data analysis. Types of norms, metrics, and scalable structures have been defined from various aspects. Nowadays, the hybrid methods between tensorial algorithms and Manifold learning (MaL) methods have been attracted some attention. In image and signal processing, from Image recovery to face recognition, these methods have appeared very excellent. According to our experiments by MATLAB R2021a, the hybrid algorithms are powerful other than algorithms based on the efficient popular parameters.

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APA: Copy

YAZDANI, H.R., & Shojaeifard, A.. (2022). An Introduction to the Application of Tensorial Manifold Learning Methods in the Digital Image Processing and Computer Vision. INTERNATIONAL JOURNAL OF MATHEMATICAL MODELLING & COMPUTATION, 12(1), 27-35. SID. https://sid.ir/paper/1001552/en

Vancouver: Copy

YAZDANI H.R., Shojaeifard A.. An Introduction to the Application of Tensorial Manifold Learning Methods in the Digital Image Processing and Computer Vision. INTERNATIONAL JOURNAL OF MATHEMATICAL MODELLING & COMPUTATION[Internet]. 2022;12(1):27-35. Available from: https://sid.ir/paper/1001552/en

IEEE: Copy

H.R. YAZDANI, and A. Shojaeifard, “An Introduction to the Application of Tensorial Manifold Learning Methods in the Digital Image Processing and Computer Vision,” INTERNATIONAL JOURNAL OF MATHEMATICAL MODELLING & COMPUTATION, vol. 12, no. 1, pp. 27–35, 2022, [Online]. Available: https://sid.ir/paper/1001552/en

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