메뉴 건너뛰기




Volumn 5807 LNCS, Issue , 2009, Pages 288-299

Image categorization using ESFS: A new embedded feature selection method based on SFS

Author keywords

Evidence Theory; Feature Selection; Image Categorization

Indexed keywords

COMPUTER VISION; IMAGING SYSTEMS; LEARNING SYSTEMS;

EID: 70549105005     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04697-1_27     Document Type: Conference Paper
Times cited : (11)

References (27)
  • 2
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for Feature Subset Selection
    • Special issue on relevance
    • Kohavi, R., John, G.H.: Wrappers for Feature Subset Selection. Artificial Intelligence 97(1-2), 273-324 (1997); Special issue on relevance
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 4
    • 0031334221 scopus 로고    scopus 로고
    • Selection of Relevant Features and Examples in Machine Learning
    • Blum, A., 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
  • 5
    • 84861184037 scopus 로고    scopus 로고
    • Comparison Between a Filter and a Wrapper Approach to Variable Subset Selection in Regression Problems
    • Aachen, Germany, September 14-15
    • Kojadinovic, I., Wottka, T.: Comparison Between a Filter and a Wrapper Approach to Variable Subset Selection in Regression Problems. In: European Symposium on Intelligent Techniques, Aachen, Germany, September 14-15 (2000)
    • (2000) European Symposium on Intelligent Techniques
    • Kojadinovic, I.1    Wottka, T.2
  • 8
    • 0742307292 scopus 로고    scopus 로고
    • Orthogonal Forward Selection and Backward Elimination Algorithms for Feature Subset Selection
    • Mao, K.Z.: Orthogonal Forward Selection and Backward Elimination Algorithms for Feature Subset Selection. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34(1), 629-634 (2004)
    • (2004) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , vol.34 , Issue.1 , pp. 629-634
    • Mao, K.Z.1
  • 9
    • 0032028297 scopus 로고    scopus 로고
    • Feature Subset Selection Using a Genetic Algorithm
    • Yang, J.H., Honavar, V.: Feature Subset Selection Using a Genetic Algorithm. IEEE Intelligent Systems 13(2), 44-49 (1998)
    • (1998) IEEE Intelligent Systems , vol.13 , Issue.2 , pp. 44-49
    • Yang, J.H.1    Honavar, V.2
  • 10
    • 34447343762 scopus 로고    scopus 로고
    • A Hybrid Genetic Algorithm for Feature Selection Wrapper Based on Mutual Information
    • Huang, J.J., Cai, Y.Z., Xu, X.M.: A Hybrid Genetic Algorithm for Feature Selection Wrapper Based on Mutual Information. Pattern Recognition Letters 28(13), 1825-1844 (2007)
    • (2007) Pattern Recognition Letters , vol.28 , Issue.13 , pp. 1825-1844
    • Huang, J.J.1    Cai, Y.Z.2    Xu, X.M.3
  • 11
    • 0015125457 scopus 로고
    • A Direct Method of Nonparametric Measurement Selection
    • Whitney, A.W.: A Direct Method of Nonparametric Measurement Selection. IEEE Transactions on Computers 20(9), 1100-1103 (1971)
    • (1971) IEEE Transactions on Computers , vol.20 , Issue.9 , pp. 1100-1103
    • Whitney, A.W.1
  • 14
    • 39349101704 scopus 로고    scopus 로고
    • The Role of Feature Selection in Building Pattern Recognizers for Computer-aided Diagnosis
    • Spence, C., Sajda, P.: The Role of Feature Selection in Building Pattern Recognizers for Computer-aided Diagnosis. In: Proceedings of SPIE. Medical Imaging 1998: Image Processing, vol. 3338, pp. 1434-1441 (1998)
    • (1998) Proceedings of SPIE. Medical Imaging 1998: Image Processing , vol.3338 , pp. 1434-1441
    • Spence, C.1    Sajda, P.2
  • 15
    • 33744584654 scopus 로고
    • Induction of Decision Trees
    • Quinlan, J.R.: Induction of Decision Trees. Machine Learning 1(1), 81-106 (1986)
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 16
    • 70549106393 scopus 로고    scopus 로고
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Series in Machine Learning (1993)
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Series in Machine Learning (1993)
  • 19
    • 0036161259 scopus 로고    scopus 로고
    • Gene Selection for Cancer Classification using Support Vector Machines
    • Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning 46(1-3), 389-422 (2002)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 23
    • 0017535866 scopus 로고
    • A Branch and Bound Algorithm for Feature Selection
    • Narendra, P.M., Fukunaga, K.: A Branch and Bound Algorithm for Feature Selection. IEEE Transactions on Computers 26(9), 917-922 (1977)
    • (1977) IEEE Transactions on Computers , vol.26 , Issue.9 , pp. 917-922
    • Narendra, P.M.1    Fukunaga, K.2
  • 24
    • 70549100361 scopus 로고    scopus 로고
    • Rakotomalala, R.: TANAGRA: A free software for the education and the research. In: Actes de EGC 2005, RNTI-E-3, 2, pp. 697-702 (2005)
    • Rakotomalala, R.: TANAGRA: A free software for the education and the research. In: Actes de EGC 2005, RNTI-E-3, vol. 2, pp. 697-702 (2005)
  • 26
    • 0003946510 scopus 로고    scopus 로고
    • Principal Component Analysis
    • in statistics
    • Jolliffe, I.T.: Principal Component Analysis. Springer series in statistics (2002)
    • (2002) Springer series
    • Jolliffe, I.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.