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Volumn 3, Issue 2, 2008, Pages 128-133

Invariant moments to scene categorization using support vector machines

Author keywords

Invariant moments; Scene categorization; Support vector machine

Indexed keywords


EID: 70749092175     PISSN: 18169503     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (14)
  • 1
    • 0142120455 scopus 로고    scopus 로고
    • Flexible view recognition for indoor navigation based on Gabor filter and support vector machines
    • Autio, I. and T. Elomaa, 2003. Flexible view recognition for indoor navigation based on Gabor filter and support vector machines. Pattern Recognition, 36: 2769-2779.
    • (2003) Pattern Recognition , vol.36 , pp. 2769-2779
    • Autio, I.1    Elomaa, T.2
  • 2
    • 33847211828 scopus 로고    scopus 로고
    • Segmentation and description of natural outdoor scenes
    • Bosch, A., X. Munoz and J. Freixenet, 2007. Segmentation and description of natural outdoor scenes. Image and Vision Computing, 25: 727-740.
    • (2007) Image and Vision Computing , vol.25 , pp. 727-740
    • Bosch, A.1    Munoz, X.2    Freixenet, J.3
  • 3
    • 34047192082 scopus 로고    scopus 로고
    • Which is the best way to organize/classify images by content?
    • Bosch, A., X. Munoz and R. Marti, 2007. Which is the best way to organize/classify images by content?. Image and Vision Computing, 25: 778-791.
    • (2007) Image and Vision Computing , vol.25 , pp. 778-791
    • Bosch, A.1    Munoz, X.2    Marti, R.3
  • 4
    • 14644422552 scopus 로고    scopus 로고
    • Beyond pixels: Exploiting camera metadata for photo classification
    • Boutell, M. and J. Luo, 2005. Beyond pixels: Exploiting camera metadata for photo classification. Pattern Recognition, 38: 935-946.
    • (2005) Pattern Recognition , vol.38 , pp. 935-946
    • Boutell, M.1    Luo, J.2
  • 5
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C.J.C., 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, http://svm.first.gmd.de., 2: 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 7
    • 2342518200 scopus 로고    scopus 로고
    • Moment invariants for recognition under changing viewpoint and illumination
    • Florica Mindru et al., 2004. Moment invariants for recognition under changing viewpoint and illumination. Computer Vision and Image Understanding, 94: 3-27.
    • (2004) Computer Vision and Image Understanding , vol.94 , pp. 3-27
    • Mindru, F.1
  • 8
    • 0343390451 scopus 로고    scopus 로고
    • Classification of scene photographs from local orientations features
    • Guerin-Dugue, A. and A. Oliva, 2000. Classification of scene photographs from local orientations features. Pattern Recognition Lett., 21: 1135-1140.
    • (2000) Pattern Recognition Lett. , vol.21 , pp. 1135-1140
    • Guerin-Dugue, A.1    Oliva, A.2
  • 9
    • 70749103537 scopus 로고    scopus 로고
    • PhD. Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
    • Ian Stefan Martin, 2005. Robust Learning and Segmentation for scene Understanding. Ph. D. Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology.
    • (2005) Robust Learning and Segmentation for scene Understanding
    • Martin, I.S.1
  • 10
    • 41149150915 scopus 로고    scopus 로고
    • Object Detection using Geometric Invariant Moment
    • Mohamed Rizon et al., 2006. Object Detection using Geometric Invariant Moment. Am. J. Applied Sci., 6: 1876-1878
    • (2006) Am. J. Applied Sci. , vol.6 , pp. 1876-1878
    • Rizon, M.1
  • 11
    • 3042685989 scopus 로고    scopus 로고
    • Improved scene classification using efficient low-level features and semantic cues
    • Navid Serrano, Andreas E. Savakis and Jiebo Luo, 2004. Improved scene classification using efficient low-level features and semantic cues. Pattern Recognition, 37: 1773-1784.
    • (2004) Pattern Recognition , vol.37 , pp. 1773-1784
    • Serrano, N.1    Savakis, A.E.2    Luo, J.3
  • 14
    • 0005900905 scopus 로고    scopus 로고
    • The support vector method of function estimation
    • Springer-Verlag, New York
    • Vapnik, V.N., 1998. The support vector method of function estimation. In: Generalization in Neural Network and Machine Learning. Springer-Verlag, New York, pp: 239-268.
    • (1998) Generalization in Neural Network and Machine Learning , pp. 239-268
    • Vapnik, V.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.