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Volumn 6713 LNCS, Issue , 2011, Pages 126-136

A modified neutral point method for kernel-based fusion of pattern-recognition modalities with incomplete data sets

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; INCOMPLETE DATA; KERNEL MATRICES; LINEAR SPACES; MISSING DATA; MISSING DATA PROBLEM; MULTI-MODAL; NEUTRAL POINTS; TEST SETS; TRAINING OBJECTS; TRAINING SETS;

EID: 80053018232     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21557-5_15     Document Type: Conference Paper
Times cited : (2)

References (12)
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    • Haindl, M., Kittler, J., Roli, F. (eds.) MCS 2007. Springer, Heidelberg
    • Mottl, V., Tatarchuk, A., Sulimova, V., Krasotkina, O., Seredin, O.: Combining pattern recognition modalities at the sensor level via kernel fusion. In: Haindl, M., Kittler, J., Roli, F. (eds.) MCS 2007. LNCS, vol. 4472, pp. 1-12. Springer, Heidelberg (2007)
    • (2007) LNCS , vol.4472 , pp. 1-12
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  • 3
    • 70349329574 scopus 로고    scopus 로고
    • Supervised selective combining pattern recognition modalities and its application to signature verification by fusing on-line and off-line kernels
    • Benediktsson, J.A., Kittler, J., Roli, F. (eds.) MCS 2009. Springer, Heidelberg
    • Tatarchuk, A., Sulimova, V., Windridge, D., Mottl, V., Lange, M.: Supervised selective combining pattern recognition modalities and its application to signature verification by fusing on-line and off-line kernels. In: Benediktsson, J.A., Kittler, J., Roli, F. (eds.) MCS 2009. LNCS, vol. 5519, pp. 324-334. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5519 , pp. 324-334
    • Tatarchuk, A.1    Sulimova, V.2    Windridge, D.3    Mottl, V.4    Lange, M.5
  • 4
    • 77952073113 scopus 로고    scopus 로고
    • A support kernel machine for supervised selective combining of diverse pattern-recognition modalities
    • El Gayar, N., Kittler, J., Roli, F. (eds.) MCS 2010. Springer, Heidelberg
    • Tatarchuk, A., Urlov, E., Mottl, V., Windridge, D.: A support kernel machine for supervised selective combining of diverse pattern-recognition modalities. In: El Gayar, N., Kittler, J., Roli, F. (eds.) MCS 2010. LNCS, vol. 5997, pp. 165-174. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.5997 , pp. 165-174
    • Tatarchuk, A.1    Urlov, E.2    Mottl, V.3    Windridge, D.4
  • 6
    • 70450258039 scopus 로고    scopus 로고
    • Benchmarking quality-dependent and costsensitive score-level multimodal biometric fusion algorithms
    • Poh, N., Bourlai, T., Kittler, J., et al.: Benchmarking quality-dependent and costsensitive score-level multimodal biometric fusion algorithms. IEEE Trans. on Information Forensics and Security 4(4), 849-866 (2009)
    • (2009) IEEE Trans. on Information Forensics and Security , vol.4 , Issue.4 , pp. 849-866
    • Poh, N.1    Bourlai, T.2    Kittler, J.3
  • 7
    • 37249028625 scopus 로고    scopus 로고
    • The neutral point method for kernel-based combination of disjoint training data in multi-modal pattern recognition
    • Haindl, M., Kittler, J., Roli, F. (eds.) MCS 2007. Springer, Heidelberg
    • Windridge, D., Mottl, V., Tatarchuk, A., Eliseyev, A.: The neutral point method for kernel-based combination of disjoint training data in multi-modal pattern recognition. In: Haindl, M., Kittler, J., Roli, F. (eds.) MCS 2007. LNCS, vol. 4472, pp. 13-21. Springer, Heidelberg (2007)
    • (2007) LNCS , vol.4472 , pp. 13-21
    • Windridge, D.1    Mottl, V.2    Tatarchuk, A.3    Eliseyev, A.4
  • 10
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    • A multimodal biometric test bed for qualitydependent, cost-sensitive and client-specific score-level fusion algorithms
    • Poh, N., Bourlai, T., Kittler, J.: A multimodal biometric test bed for qualitydependent, cost-sensitive and client-specific score-level fusion algorithms. Pattern Recognition 43(3), 1094-1105 (2010), http://www.biosecure. info/
    • (2010) Pattern Recognition , vol.43 , Issue.3 , pp. 1094-1105
    • Poh, N.1    Bourlai, T.2    Kittler, J.3
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    • Metric spaces admitting linear operations and inner product
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.