상세정보
학술대회
A Study on Hyperbox Classifier with Domino Extension in Pattern Recognition: Hyperbox Driven Classifier in Pattern Recognition
- 발행일
- 201404
- 출처
- International Conference on Information Science, Electronics and Electrical Engineering (ISEEE) 2014, pp.1585-1589
- 협약과제
- 13SE1600, 시각 생체 모방 소자 및 인지 시스템 기술 개발, 정명애
- 초록
- In this study, we introduce the development of hyperbox classifier with hierarchical two-level granular structure, namely set (interval) and fuzzy set in dealing with a description of geometry of patterns belonging to a certain category. We take advantage of the capabilities of sets when describing a core structure of classes of patterns in the form of some hyperboxes. Their combinations are referred to as a core structure of the feature space. Next, we refine the geometry of the classifier by bringing forward the concepts of regions of the feature space characterized by fuzzy sets. They are sought as a secondary structure. A series of numeric examples are used to demonstrate the effectiveness of the proposed classifiers.
- KSP 제안 키워드
- Core structure, Feature space, Fuzzy Sets, Granular structure, Pattern recognition, Secondary structure, Two-level