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학술대회 Two-Dimensional Logistic Regression
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저자
윤우한, 김도형, 지수영, 윤호섭
발행일
200710
출처
International Conference on Tools with Artificial Intelligence (ICTAI) 2007, pp.349-353
DOI
https://dx.doi.org/10.1109/ICTAI.2007.48
협약과제
07MI1100, URC를 위한 내장형 컴포넌트 기술개발 및 표준화, 황대환
초록
Recently, some 2D based algorithms were proposed for image classification. In this paper, we propose two-dimensional logistic regression for two-class problem. This method has an advantage of memory saving and better performance than other 2D based approaches. The experimental results show two dimensional logistic regression is superior to one dimensional logistic regression and other popular two-dimensional methods. © 2007 IEEE.
KSP 제안 키워드
Dimensional methods, Image classification, Logistic Regression(LR), One-dimensional, two-dimensional(2D)