Now showing items 1-2 of 2

  • Dimension-specific search for advanced applications. 

    Zi, Huang; Shen, Heng Tao; Song, Dawei; Li, Xue; Rueger, Stefan (Springer http://dx.doi.org/10.1007/978-3-642-00887-0_60 The original publication is available at www.springerlink.com., 2009-03)
    HUANG, Z., SHEN, H. T., SONG, D., LI, X. and RUEGER, S., 2009. Dimension-specific search for multimedia retrieval. In: X. ZHOU et al., eds. Database Systems for Advanced Applications: 14th International Conference, DASFAA 2009, Brisbane, Australia, April 2009, Proceedings. 21-23 April 2009. Berlin: Springer. pp. 693-698.
    Observing that current Global Similarity Measures (GSM) which average the effect of few significant differences on all dimensions may cause pos- sible performance limitation, we propose the first Dimension-specific ...
  • Dimensionality reduction for dimension-specific search. 

    Huang, Zi; Shen, Heng Tao; Zhou, Xiaofang; Song, Dawei; Ruger, Stefan (ACM http://doi.acm.org/10.1145/1277741.1277940, 2007)
    HUANG, Z., SHEN, H., ZHOU, X., SONG, D. and RUGER, S. 2007. Dimensionality reduction for dimension-specific search. In: C. CLARKE, N. FUHR, N. KANDO, W. KRAAIJ and A. DE VRIES, eds. Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 23-27 July 2007. Amsterdam. pp. 849-850
    Dimensionality reduction plays an important role in efficient similarity search, which is often based on k-nearest neighbor (k-NN) queries over a high-dimensional feature space. In this paper, we introduce a novel type ...