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Volumn 6669 LNCS, Issue , 2011, Pages 76-83

Feature selection for gender classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; FEATURE COMBINATION; FEATURE SELECTION METHODS; FEATURE SUBSET; GAUSSIAN MIXTURE MODEL; GENDER CLASSIFICATION; HIGHER ORDER; INFORMATION CRITERION; INFORMATION THEORETIC CRITERION; INTERACTION INFORMATION; PRINCIPAL GEODESIC ANALYSIS; VARIATIONAL EM; MULTIDIMENSIONAL INTERACTION INFORMATIONS (MII);

EID: 79960009259     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21257-4_10     Document Type: Conference Paper
Times cited : (2)

References (11)
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    • On Guo and Nixon's Criterion for Feature Subset Selection: Assumptions, Implications, and Alternative Options
    • Balagani, K., Phoha, V., Iyengar, S., Balakrishnan, N.: On Guo and Nixon's Criterion for Feature Subset Selection: Assumptions, Implications, and Alternative Options. IEEE TSMC-A: Systems and Humans 40(3), 651-655 (2010)
    • (2010) IEEE TSMC-A: Systems and Humans , vol.40 , Issue.3 , pp. 651-655
    • Balagani, K.1    Phoha, V.2    Iyengar, S.3    Balakrishnan, N.4
  • 2
    • 0028468293 scopus 로고    scopus 로고
    • Using Mutual Information for Selecting Features in Supervised Neural Net Learning
    • Battiti, R.: Using Mutual Information for Selecting Features in Supervised Neural Net Learning. IEEE Transactions on Neural Networks 5(4), 537-550 (2002)
    • (2002) IEEE Transactions on Neural Networks , vol.5 , Issue.4 , pp. 537-550
    • Battiti, R.1
  • 5
    • 84942213019 scopus 로고    scopus 로고
    • The Best Two IndependentMeasurements Are Not the Two Best
    • Cover, T.: The Best Two IndependentMeasurements Are Not The Two Best. IEEE TSMC 4(1), 116-117 (2010)
    • (2010) IEEE TSMC , vol.4 , Issue.1 , pp. 116-117
    • Cover, T.1
  • 7
    • 70450273199 scopus 로고    scopus 로고
    • Information Theoretic Feature Extraction for Audio-visual Speech Recognition
    • Gurban, M., Thiran, J.: Information Theoretic Feature Extraction for Audio-visual Speech Recognition. IEEE Transactions on Signal Processing 57(12), 4765-4776 (2009)
    • (2009) IEEE Transactions on Signal Processing , vol.57 , Issue.12 , pp. 4765-4776
    • Gurban, M.1    Thiran, J.2
  • 8
    • 0036933407 scopus 로고    scopus 로고
    • Input Feature Selection by Mutual Information Based on Parzen Window
    • Kwak, N., Choi, C.: Input Feature Selection by Mutual Information Based on Parzen Window. IEEE TPAMI 24(12), 1667-1671 (2002)
    • (2002) IEEE TPAMI , vol.24 , Issue.12 , pp. 1667-1671
    • Kwak, N.1    Choi, C.2
  • 9
    • 24344458137 scopus 로고    scopus 로고
    • Feature Selection Based on Mutual Information: Criteria of Max-dependency, Max-relevance, and Min-redundancy
    • Peng, H., Long, F., Ding, C.: Feature Selection Based on Mutual Information: Criteria of Max-dependency, Max-relevance, and Min-redundancy. IEEE TPAMI 27(8), 1226-1238 (2005)
    • (2005) IEEE TPAMI , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.