An Introduction to the Application of Tensorial Manifold Learning Methods in the Digital Image Processing and Computer Vision
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 188
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شناسه ملی سند علمی:
JR_IJMAC-12-1_003
تاریخ نمایه سازی: 27 دی 1401
چکیده مقاله:
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 R۲۰۲۱a, the hybrid algorithms are powerful other than algorithms based on the efficient popular parameters.
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نویسندگان
Hamid Yazdani
Department of Mathematics, Payame Noor University (PNU), P.O. Box ۱۹۳۹۵-۳۶۹۷, Tehran, Iran
Ali Reza Shojaeifard
Department of Mathematics, Faculty of Sciences, Imam Hossein Comprehensive University, Tehran, Iran.