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Volumn , Issue , 2010, Pages 3320-3323

Spatial representation for efficient sequence classification

Author keywords

[No Author keywords available]

Indexed keywords

ALPHABET SIZE; APPLICATION DOMAINS; BIOLOGICAL SEQUENCES; COMPUTATIONAL COSTS; DIVERSE DOMAINS; EFFICIENT ALGORITHM; FEATURE REPRESENTATION; MULTISCALE REPRESENTATIONS; ORDER OF MAGNITUDE; PREDICTIVE ACCURACY; RUNNING TIME; SCALABLE IMPLEMENTATION; SEQUENCE CLASSIFICATION; SEQUENTIAL DATA; SPATIAL REPRESENTATIONS; STATE-OF-THE-ART APPROACH; STRING COMPARISON;

EID: 78149481812     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.1159     Document Type: Conference Paper
Times cited : (15)

References (12)
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  • 3
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  • 4
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    • Fast protein homology and fold detection with sparse spatial sample kernels
    • P. Kuksa, P.-H. Huang, and V. Pavlovic. Fast protein homology and fold detection with sparse spatial sample kernels. In ICPR 2008, 2008.
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    • Kuksa, P.1    Huang, P.-H.2    Pavlovic, V.3
  • 5
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    • Fast string kernels using inexact matching for protein sequences
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  • 7
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    • T. Li, M. Ogihara, and Q. Li. A comparative study on content-based music genre classification. In SIGIR '03, pages 282-289, New York, NY, USA, 2003. ACM.
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  • 10
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    • Determining the roles of different chain fragments in recognition of immunoglobulin fold
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  • 11
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.