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Volumn 2195, Issue , 2001, Pages 71-78

An adaptive index structure for high-dimensional similarity search

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; IMAGE TEXTURE; MAXIMUM PRINCIPLE; TEXTURES;

EID: 84946750592     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45453-5_10     Document Type: Conference Paper
Times cited : (4)

References (6)
  • 3
    • 0031625017 scopus 로고    scopus 로고
    • Dimensionality reduction by random mapping: Fast similarity computation for clustering
    • IEEE Service Center, Piscataway, NJ
    • S. Kaski. "Dimensionality reduction by random mapping: Fast similarity computation for clustering," Proc. Int’l Joint Conference on Neural Networks, volume 1, pages 413-418, IEEE Service Center, Piscataway, NJ, 1998.
    • (1998) Proc. Int’l Joint Conference on Neural Networks , vol.1 , pp. 413-418
    • Kaski, S.1
  • 5
    • 0000681228 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity-search methods in high-dimensional space
    • New York City, New York, August
    • R. Webber, J.-J. Schek and S. Blott. "A quantitative analysis and performance study for similarity-search methods in high-dimensional space," Proc. Int’l Conf. Very Large Databases, pp. 194-205, New York City, New York, August 1998.
    • (1998) Proc. Int’l Conf. Very Large Databases , pp. 194-205
    • Webber, R.1    Schek, J.-J.2    Blott, S.3
  • 6
    • 0006697144 scopus 로고    scopus 로고
    • Beijing, July
    • ISO/IEC JTC1/SC29/WG11, "MPEG-7 Working Draft 4.0," Beijing, July, 2000.
    • (2000) MPEG-7 Working Draft 4.0


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.