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Volumn 2002-January, Issue , 2002, Pages 261-265

Long-term relevance feedback using simple PCA and linear transformation

Author keywords

Feedback; Functional analysis; Indexing; Information retrieval; Large scale integration; Multidimensional systems; Principal component analysis; Testing; Training data; Vectors

Indexed keywords

CONTENT BASED RETRIEVAL; EXPERT SYSTEMS; FEEDBACK; FUNCTIONAL ANALYSIS; IMAGE RETRIEVAL; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL; INTEGRATION TESTING; LINEAR TRANSFORMATIONS; LSI CIRCUITS; MATHEMATICAL TRANSFORMATIONS; NATURAL LANGUAGE PROCESSING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; SEMANTICS; TESTING; VECTOR SPACES; VECTORS;

EID: 50249143760     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2002.1045909     Document Type: Conference Paper
Times cited : (3)

References (5)
  • 2
    • 0038738455 scopus 로고    scopus 로고
    • Fast dimensionality reduction and simple PCA
    • Partridge, M. and Calvo, R, "Fast Dimensionality Reduction and Simple PCA," IDA,2(3): 292298,1998
    • (1998) IDA , vol.2 , Issue.3 , pp. 292-298
    • Partridge, M.1    Calvo, R.2
  • 4
    • 84948688848 scopus 로고    scopus 로고
    • A new approach for improvement in vector space information retrieval model based on supervised learning
    • in Japaness
    • Tai, X., Fukumi, M. and Kita, K, "A New Approach for Improvement in Vector Space Information Retrieval Model based on Supervised Learning," Trans. IEE of Japan,Vol. 121-C, No.1, in Japaness,2001
    • (2001) Trans. IEE of Japan , vol.121-C , Issue.1
    • Tai, X.1    Fukumi, M.2    Kita, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.