메뉴 건너뛰기




Volumn , Issue , 2013, Pages 210-214

Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech

Author keywords

Classification; Feature selection; Paralinguistics; Pattern recognition; Random sampling; Speaker traits

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; LINGUISTICS; PATTERN RECOGNITION; SPEECH;

EID: 84906265999     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (68)

References (15)
  • 4
    • 33644694381 scopus 로고    scopus 로고
    • Emotion in vowel segments of continuous speech: Analysis of the glottal flow using the normalised amplitude quotient
    • Airas, M., and Alku, P., "Emotion in Vowel Segments of Continuous Speech: Analysis of the Glottal Flow Using the Normalised Amplitude Quotient", Phonetica, 63, 26- 46, 2006.
    • (2006) Phonetica , vol.63 , pp. 26-46
    • Airas, M.1    Alku, P.2
  • 5
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Blum, A. and Langley, P., "Selection of relevant features and examples in machine learning", Artificial Intelligence, 97, 245-271, 1997.
    • (1997) Artificial Intelligence , vol.97 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 6
    • 84890445089 scopus 로고    scopus 로고
    • Overfitting in making comparisons between variable selection methods
    • Reunanen, J., "Overfitting in Making Comparisons Between Variable Selection Methods", Journal of Machine Learning Research, 3, 1371-1382, 2003.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1371-1382
    • Reunanen, J.1
  • 7
    • 81255178681 scopus 로고    scopus 로고
    • Random KNN feature selection - A fast and stable alternative to random forests
    • Li, S., Harner, J., and Adjeroh, D., "Random KNN feature selection - A fast and stable alternative to Random Forests", BMC Bioinformatics, 12:450, 2011.
    • (2011) BMC Bioinformatics , vol.12 , pp. 450
    • Li, S.1    Harner, J.2    Adjeroh, D.3
  • 8
    • 0015125457 scopus 로고
    • A direct method of nonparametric measurement selection
    • Whitney, A. W., "A direct method of nonparametric measurement selection", IEEE Trans. Computers, 20, 1100-1103, 1971.
    • (1971) IEEE Trans. Computers , vol.20 , pp. 1100-1103
    • Whitney, A.W.1
  • 10
    • 84874471178 scopus 로고    scopus 로고
    • Introducing the geneva multimodal expression corpus for experimental research on emotion perception
    • Bänziger, T., Mortillaro, M., and Scherer, K. R., "Introducing the Geneva Multimodal expression corpus for experimental research on emotion perception", Emotion, 12, 1161-1179, 2012.
    • (2012) Emotion , vol.12 , pp. 1161-1179
    • Bänziger, T.1    Mortillaro, M.2    Scherer, K.R.3
  • 11
    • 84871389667 scopus 로고    scopus 로고
    • Predicting the conflict level in television political debates: An approach based on crowdsourcing, nonverbal communication and Gaussian processes
    • Nara, Japan
    • Kim, S., Filippone, M., Valente, F., and Vinciarelli, A., "Predicting the Conflict Level in Television Political Debates: An Approach Based on Crowdsourcing, Nonverbal Communication and Gaussian Processes", Proc. ACM International Conference on Multimedia, Nara, Japan, pp. 793-796, 2012.
    • (2012) Proc. ACM International Conference on Multimedia , pp. 793-796
    • Kim, S.1    Filippone, M.2    Valente, F.3    Vinciarelli, A.4
  • 12
    • 78650977476 scopus 로고    scopus 로고
    • Opensmile - The munich versatile and fast open-source audio feature extractor
    • October 25-29, Firenze, Italy
    • Eyben, F., Wöllmer, M., and Schuller, B., "openSMILE - The Munich Versatile and Fast Open-Source Audio Feature Extractor", Proc. ACM Multimedia (MM'10), October 25-29, Firenze, Italy, pp. 1459-1462, 2010.
    • (2010) Proc. ACM Multimedia (MM'10) , pp. 1459-1462
    • Eyben, F.1    Wöllmer, M.2    Schuller, B.3
  • 13
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L., "Random Forests", Machine Learning, 45, 5-32, 2001.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.