Now showing items 2-6 of 6

  • Classifying document titles based on information inference. 

    Song, Dawei; Bruza, Peter D.; Huang, Zi; Lau, Raymond Y. K. (Springer http://dx.doi.org/10.1007/b14019, 2003-10)
    SONG, D., BRUZA, P., HUANG, Z. and LAU, R., 2003. Classifying document titles based on information inference. In: N. ZHONG, Z. RAS, S. TSUMOTO and E. SUZUKI, eds. Foundations of Intelligent Systems : 14th International Symposium, ISMIS 2003 Maebashi City, Japan, October 28-31, 2003 : Proceedings. Berlin: Springer. pp. 297-306.
    We propose an intelligent document title classification agent based on a theory of information inference. The information is represented as vectorial spaces computed by a cognitively motivated model, namely Hyperspace ...
  • 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 ...
  • Dimensionality reduction in patch-signature based protein structure matching. 

    Huang, Zi; Zhou, Xiaofang; Song, Dawei; Bruza, Peter D. (Australian Computer Society. http://www.crpit.com/confpapers/CRPITV49Huang.pdf, 2006-01)
    HUANG, Z., ZHOU, X., SONG, D. and BRUZA, P., 2006. Dimensionality reduction in patch-signature based protein structure matching. In: G. DOBBIE and J. BAILEY, eds. Database Technologies 2006: Proceedings of the 17th Australasian Database Conference (ADC2006). 16-19 January 2006. Hobart, Tasmania: Australian Computer Society, pp. 89-97.
    Searching bio-chemical structures is becoming an important application domain of information re- trieval. This paper introduces a protein structure matching problem and formulates it as an infor- mation retrieval ...
  • Dissimilarity measures for content-based image retrieval. 

    Hu, Rui; Ruger, Stefan; Song, Dawei; Liu, Haiming; Huang, Zi (IEEE http://dx.doi.org/10.1109/ICME.2008.4607697, 2008-06)
    HU, R., RUGER, S., SONG, D., LIU, H. and HUANG, Z., 2008. Dissimilarity measures for content-based image retrieval. In: 2008 IEEE International Conference on Multimedia and Expo: ICME 2008: Proceedings. 23-26 June 2008. IEEE. pp. 1365-1368.
    Dissimilarity measurement plays a crucial role in contentbased image retrieval. In this paper, sixteen core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three ...
  • High dimensional indexing for protein structure matching 

    Huang, Zi; Zhou, Xiaofang; Song, Dawei (Imperial College Press. http://ebooks.worldscinet.com/ISBN/9781860947322/9781860947322.shtml, 2005-01)
    HUANG, Z., ZHOU, X. and SONG, D., 2005. High dimensional indexing for protein structure matching. In: Y-P. P. CHEN and L. WONG eds. Proceedings of the 3rd Asia-Pacific Bioinformatics Conference. 17-21 January 2005. Singapore: Imperial College Press. pp. 21-30.
    For determining functionality dependencies between two proteins, both represented as 3D structures, it is an essential condition that they have a matching structure. As 3D structures for proteins are large, complex and ...