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Volumn 4212 LNAI, Issue , 2006, Pages 727-734

Revisiting fisher kernels for document similarities

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; DATA STRUCTURES; EMBEDDED SYSTEMS; INFORMATION RETRIEVAL; MATRIX ALGEBRA;

EID: 33750358113     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871842_73     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 1
    • 84898996741 scopus 로고    scopus 로고
    • Learning the similarity of documents: An information-geometric approach to document retrieval and categorization
    • Hofmann, T.: Learning the similarity of documents: An information-geometric approach to document retrieval and categorization. In: Advances in Neural Information Processing Systems (NIPS). Volume 12. (2000) 914-920
    • (2000) Advances in Neural Information Processing Systems (NIPS) , vol.12 , pp. 914-920
    • Hofmann, T.1
  • 3
    • 84957069091 scopus 로고    scopus 로고
    • Naive (Bayes) at forty: The independence assumption in information retrieval
    • Proc. of 10th European Conference on Machine Learning (ECML'98) Springer
    • Lewis, D.: Naive (Bayes) at forty: The independence assumption in information retrieval. In: Proc. of 10th European Conference on Machine Learning (ECML'98). Volume 1398 of Lecture Notes In Computer Science., Springer (1998) 4-15
    • (1998) Lecture Notes in Computer Science , vol.1398 , pp. 4-15
    • Lewis, D.1
  • 4
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • Nigam, K., McCallum, A.K., Thrun, S., Mitchell, T.: Text classification from labeled and unlabeled documents using EM. Machine Learning 39 (2000) 103-134
    • (2000) Machine Learning , vol.39 , pp. 103-134
    • Nigam, K.1    McCallum, A.K.2    Thrun, S.3    Mitchell, T.4
  • 9
    • 0036498205 scopus 로고    scopus 로고
    • A probabilistic framework for the hierarchic organisation and classification of document collections
    • Vinokourov, A., Girolami, M.: A probabilistic framework for the hierarchic organisation and classification of document collections. Journal of Intelligent Information Systems 18 (2002) 153-172
    • (2002) Journal of Intelligent Information Systems , vol.18 , pp. 153-172
    • Vinokourov, A.1    Girolami, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.