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active visual information fusion",
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@article{bb83466,
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@article{bb83467,
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@article{bb83468,
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        TITLE = "Learning From Examples in the Small Sample Case:
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@article{bb83470,
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@inproceedings{bb83471,
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@inproceedings{bb83472,
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@article{bb83473,
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@inproceedings{bb83475,
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@inproceedings{bb83476,
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@article{bb83477,
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@inproceedings{bb83478,
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@inproceedings{bb83479,
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@inproceedings{bb83480,
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human facial expression perception",
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@article{bb83482,
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        TITLE = "NMF, LNMF, and DNMF modeling of neural receptive fields involved in
human facial expression perception",
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@inproceedings{bb83483,
        AUTHOR = "Buciu, I. and Pitas, I.",
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to facial expression recognition",
        BOOKTITLE = ICPR04,
        YEAR = "2004",
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@article{bb83484,
        AUTHOR = "Kotsia, I. and Pitas, I.",
        TITLE = "Facial Expression Recognition in Image Sequences Using Geometric
Deformation Features and Support Vector Machines",
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@inproceedings{bb83485,
        AUTHOR = "Kotsia, I. and Pitas, I.",
        TITLE = "Real Time Facial Expression Recognition from Image Sequences Using
Support Vector Machines",
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        YEAR = "2005",
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@article{bb83486,
        AUTHOR = "Kotsia, I. and Zafeiriou, S. and Pitas, I.",
        TITLE = "Texture and shape information fusion for facial expression and facial
action unit recognition",
        JOURNAL = PR,
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@inproceedings{bb83487,
        AUTHOR = "Kotsia, I. and Zafeiriou, S. and Pitas, I.",
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@article{bb83488,
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@inproceedings{bb83498,
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@inproceedings{bb83499,
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Last update:Jan 1, 2009 at 17:09:16