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Volumn , Issue , 1999, Pages 480-486

Restructuring sparse high dimensional data for effective retrieval

Author keywords

[No Author keywords available]

Indexed keywords

COLLECTION OF DOCUMENTS; DIMENSIONALITY REDUCTION; HIGH DIMENSIONAL DATA; INDEPENDENT COMPONENTS; LINEAR DIMENSIONALITY REDUCTION; OPTIMAL LINEAR PROJECTION; RETRIEVAL PERFORMANCE; SPARSE REPRESENTATION;

EID: 84898995610     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (12)
  • 2
    • 0029411030 scopus 로고
    • An information-maximizaton approach to blind source separation and blind deconvolution
    • Bell, A. and Sejnowski, T. (1995). An information-maximizaton approach to blind source separation and blind deconvolution. Neural Computation, 7:1129-1159.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.1    Sejnowski, T.2
  • 6
    • 34447620746 scopus 로고
    • Improving text retrieval for the routing problem using latent semantic indexing
    • Hull, D. (1994). Improving text retrieval for the routing problem using latent semantic indexing. In Proceedings of the 17th ACM/SIGIR Conference, pages 282-290.
    • (1994) Proceedings of the 17th ACM/SIGIR Conference , pp. 282-290
    • Hull, D.1
  • 7
    • 0030406842 scopus 로고    scopus 로고
    • A new method of weighting query terms for ad-hoc retrieval
    • Kwok, K. L. (1996). A new method of weighting query terms for ad-hoc retrieval. In Proceedings of the 19th ACM/SIGIR Conference, pages 187-195.
    • (1996) Proceedings of the 19th ACM/SIGIR Conference , pp. 187-195
    • Kwok, K.L.1
  • 8
    • 0041331349 scopus 로고
    • Information management tools for updating an svd-encoded indexing scheme
    • University of Tennessee
    • O'Brien, G. W. (1994). Information management tools for updating an svd-encoded indexing scheme. Technical Report UT-CS-94-259, University of Tennessee.
    • (1994) Technical Report UT-CS-94-259
    • O'Brien, G.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.