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Volumn , Issue , 2008, Pages 967-971

On empirical capacity, random coding bound, and probability of outage of an object recognition system under constraint of PCA-encoding

Author keywords

Karhunen Loeve transform; Object recognition; Probability of outage; Random coding exponent; Recognition capacity

Indexed keywords

ANNUAL CONFERENCE; COMMUNICATION CHANNELS; DATA-SETS; FUNDAMENTAL CHARACTERISTICS; KARHUNEN-LOEVE EXPANSION; KARHUNEN-LOEVE TRANSFORM; OBJECT RECOGNITION SYSTEMS; PERFORMANCE MEASURES; PRINCIPAL COMPONENT ANALYSIS (PCA); PROBABILITY OF OUTAGE; RANDOM CODING BOUND; RANDOM CODING EXPONENT; RECOGNITION CAPACITY; RECOGNITION ERRORS;

EID: 51849132149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISS.2008.4558658     Document Type: Conference Paper
Times cited : (2)

References (4)
  • 1
    • 4744340839 scopus 로고    scopus 로고
    • Performance prediction methodology for biometric systems using a large deviations approach
    • October
    • Natalia A. Schmid and J. A. O'Sullivan, "Performance prediction methodology for biometric systems using a large deviations approach," IEEE Trans. on Signal Processing, Supplement on Secure Media, vol. 52, no. 10, pp. 3036-3045, October 2004.
    • (2004) IEEE Trans. on Signal Processing, Supplement on Secure Media , vol.52 , Issue.10 , pp. 3036-3045
    • Schmid, N.A.1    O'Sullivan, J.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.