메뉴 건너뛰기




Volumn 223, Issue , 2013, Pages 102-118

Feature subset selection using separability index matrix

Author keywords

EMG signal; Feature subset selection; Filter method; Gait phase recognition; Separability index matrix

Indexed keywords

EMG SIGNAL; FEATURE SUBSET SELECTION; FILTER METHOD; GAIT-PHASE; SEPARABILITY INDEX;

EID: 84870254602     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2012.09.042     Document Type: Article
Times cited : (21)

References (27)
  • 1
    • 0028468293 scopus 로고
    • Using mutual information for selecting features in supervised neural net learning
    • R. Battiti Using mutual information for selecting features in supervised neural net learning IEEE Transactions on Neural Networks 5 1994 537 550
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 537-550
    • Battiti, R.1
  • 2
    • 0037410630 scopus 로고    scopus 로고
    • Feature subset selection using a new definition of classifiability
    • DOI 10.1016/S0167-8655(02)00303-3, PII S0167865502003033
    • M. Dong, and R. Kothari Feature subset selection using a new definition of classifiability Pattern Recognition Letters 24 2003 1215 1225 (Pubitemid 36225838)
    • (2003) Pattern Recognition Letters , vol.24 , Issue.9-10 , pp. 1215-1225
    • Dong, M.1    Kothari, R.2
  • 7
    • 77956394680 scopus 로고    scopus 로고
    • Soft fuzzy rough sets for robust feature evaluation and selection
    • Q. Hu, S. An, and D. Yu Soft fuzzy rough sets for robust feature evaluation and selection Information Sciences 180 2010 4384 4400
    • (2010) Information Sciences , vol.180 , pp. 4384-4400
    • Hu, Q.1    An, S.2    Yu, D.3
  • 9
    • 84870976711 scopus 로고    scopus 로고
    • Development of assistive walking device for disability
    • January (The copy of this reference was obtained with the permission of YUDO Robotics. Inc.)
    • H. Jang, et al., Development of assistive walking device for disability, Final Report for YUDO Robotics. Inc., January 2007. (The copy of this reference was obtained with the permission of YUDO Robotics. Inc.)
    • (2007) Final Report for YUDO Robotics. Inc.
    • Jang, H.1
  • 11
  • 12
    • 0030195103 scopus 로고    scopus 로고
    • Feature selection for pattern classification with Gaussian mixture models: A new objective criterion
    • DOI 10.1016/0167-8655(96)00047-5, PII S0167865596000475
    • S. Krishnan, K. Samudravijaya, and P.V.S. Rao Feature selection for pattern classification with Gaussian mixture models: a new objective criterion Pattern Recognition Letters 17 1996 803 809 (Pubitemid 126384184)
    • (1996) Pattern Recognition Letters , vol.17 , Issue.8 , pp. 803-809
    • Krishnan, S.1    Samudravijaya, K.2    Rao, P.V.S.3
  • 13
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • DOI 10.1016/S0031-3203(99)00041-2
    • M. Kudo, and J. Sklansky Comparison of algorithms that select features for pattern classifiers Pattern Recognition 33 2000 25 41 (Pubitemid 32081876)
    • (2000) Pattern Recognition , vol.33 , Issue.1 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 15
    • 77958106713 scopus 로고    scopus 로고
    • Simultaneous feature selection and classification using kernel-penalized support vector machines
    • S. Maldonado, R. Weber, and J. Basak Simultaneous feature selection and classification using kernel-penalized support vector machines Information Sciences 181 2011 115 128
    • (2011) Information Sciences , vol.181 , pp. 115-128
    • Maldonado, S.1    Weber, R.2    Basak, J.3
  • 20
    • 0003408496 scopus 로고
    • University of California, Department of Information and Computer Science, Irvine, CA (accessed 01.06.2007)
    • P. Murphy, D.W. Aha, UCI Repository of machine learning databases, University of California, Department of Information and Computer Science, Irvine, CA, 1994 < http://www.ics.uci.edu/∼mlearn/MLRepository.html > (accessed 01.06.2007).
    • (1994) UCI Repository of Machine Learning Databases
    • Murphy, P.1    Aha, D.W.2
  • 21
    • 33846945056 scopus 로고    scopus 로고
    • Recursive gene selection based on maximum margin criterion: A comparison with SVM-RFE
    • S. Niijima, and S. Kuhara Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE BMC Bioinformatics 7 2006 543
    • (2006) BMC Bioinformatics , vol.7 , pp. 543
    • Niijima, S.1    Kuhara, S.2
  • 23
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy
    • DOI 10.1109/TPAMI.2005.159
    • H. Peng, F. Long, and C. Ding Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy IEEE Transactions on Pattern Analysis and Machine Intelligence 27 2005 1226 1238 (Pubitemid 41245053)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 27
    • 79251598720 scopus 로고    scopus 로고
    • Ensemble of feature sets and classification algorithms for sentiment classification
    • R. Xia, C. Zong, and S. Li Ensemble of feature sets and classification algorithms for sentiment classification Information Sciences 181 2011 1138 1152
    • (2011) Information Sciences , vol.181 , pp. 1138-1152
    • Xia, R.1    Zong, C.2    Li, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.