CMVF: A Novel Dimension Reduction Scheme for Efficient Indexing in A Large Image Database

J. Shen, A.H.H. Ngu, J. Shepherd, Du Huynh, Q.Z. Sheng

Research output: Chapter in Book/Conference paperConference paper

5 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
EditorsAlan Y. Halevy, Zachary G. Ives, AnHai Doan
Place of PublicationNew York 10286-1405, USA
PublisherAssociation for Computing Machinery (ACM)
Pages657
VolumeN/A
EditionSan Diego, California
ISBN (Print)158113634X
Publication statusPublished - 2003
EventCMVF: A Novel Dimension Reduction Scheme for Efficient Indexing in A Large Image Database - San Diego, California
Duration: 1 Jan 2003 → …

Conference

ConferenceCMVF: A Novel Dimension Reduction Scheme for Efficient Indexing in A Large Image Database
Period1/01/03 → …

Cite this

Shen, J., Ngu, A. H. H., Shepherd, J., Huynh, D., & Sheng, Q. Z. (2003). CMVF: A Novel Dimension Reduction Scheme for Efficient Indexing in A Large Image Database. In A. Y. Halevy, Z. G. Ives, & A. Doan (Eds.), Proceedings of the ACM SIGMOD International Conference on Management of Data (San Diego, California ed., Vol. N/A, pp. 657). New York 10286-1405, USA: Association for Computing Machinery (ACM).