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Examining and comparing two approaches to data training in descriptive-separative dictionary

عنوان مقاله: Examining and comparing two approaches to data training in descriptive-separative dictionary
شناسه ملی مقاله: ICECM06_100
منتشر شده در ششمین کنفرانس بین المللی پژوهش های نوین در مهندسی برق، کامپیوتر، مکانیک و مکاترونیک در ایران و جهان اسلام در سال 1402
مشخصات نویسندگان مقاله:

Arash Jalali - Khorasan Regional Electric Company (KREC), Mashhad

خلاصه مقاله:
In this article, we examine the two main approaches proposed in the field of dictionary learning. The first approach is aimed at creating separation in the representations provided by the dictionary, that is, all atoms are simultaneously descriptive and separable. The second approach is to create a subspace for the descriptiveness of the dictionary and create another subspace for its differentiation. The classification in the first approach is on the full display area, and the classification in the second approach will be done only with the part of the display that corresponds to the separating atoms.

کلمات کلیدی:
Dictionary learning, descriptive dictionary, and classification dictionary

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1708096/