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차원 축소 벡터들을 위한 인덱싱 및 검색
Indexing and Searching for Reduced-Dimensional Vectors
- 정승도;
- 김상욱;
- 최병욱
초록
In this paper, we first address the problems associated with indexing and searching for reduced-dimensional vectors, which are reduced by using a combination of angle approximation and dimension grouping. Then, we propose a novel method to solve the problems. We also show the superiority of the proposed method by performing extensive experiments with synthetic and real-life data sets.
키워드
Multimedia Information Retrieval; Multi-dimensional Indexing; Query Processing; Dimensionality Reduction; Multimedia Information Retrieval; Multi-dimensional Indexing; Query Processing; Dimensionality Reduction; 멀티미디어 정보검색; 다차원 색인; 질의 처리; 차원 축소
- 제목
- 차원 축소 벡터들을 위한 인덱싱 및 검색
- 제목 (타언어)
- Indexing and Searching for Reduced-Dimensional Vectors
- 저자
- 정승도; 김상욱; 최병욱
- 발행일
- 2010-02
- 저널명
- 정보과학회논문지 : 데이타베이스
- 권
- 37
- 호
- 1
- 페이지
- 44 ~ 49