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Binary Patterns",
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@inproceedings{bb249564,
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        TITLE = "Can Computer Vision Techniques be Applied to Automated Forensic
Examinations? A Study on Sex Identification from Human Skulls Using
Head CT Scans",
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        PAGES = "IV: 342-359",
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@inproceedings{bb249565,
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        TITLE = "The LFW-Gender Dataset",
        BOOKTITLE = CV4AC16,
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        PAGES = "III: 531-540",
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@inproceedings{bb249566,
        AUTHOR = "Bianconi, F. and Smeraldi, F. and Abdollahyan, M. and Xiao, P.",
        TITLE = "On the use of skin texture features for gender recognition:
An experimental evaluation",
        BOOKTITLE = IPTA16,
        YEAR = "2016",
        PAGES = "1-6",
        BIBSOURCE = "http://www.visionbib.com/bibliography/people895g1.html#TT244432"}

@inproceedings{bb249567,
        AUTHOR = "Zhang, K. and Tan, L. and Li, Z. and Qiao, Y.",
        TITLE = "Gender and Smile Classification Using Deep Convolutional Neural
Networks",
        BOOKTITLE = ChaLearn16,
        YEAR = "2016",
        PAGES = "739-743",
        BIBSOURCE = "http://www.visionbib.com/bibliography/people895g1.html#TT244433"}

@inproceedings{bb249568,
        AUTHOR = "Uricar, M. and Timofte, R. and Rothe, R. and Matas, J.G. and Van Gool, L.J.",
        TITLE = "Structured Output SVM Prediction of Apparent Age, Gender and Smile
from Deep Features",
        BOOKTITLE = ChaLearn16,
        YEAR = "2016",
        PAGES = "730-738",
        BIBSOURCE = "http://www.visionbib.com/bibliography/people895g1.html#TT244434"}

@inproceedings{bb249569,
        AUTHOR = "Juefei Xu, F. and Verma, E. and Goel, P. and Cherodian, A. and Savvides, M.",
        TITLE = "DeepGender: Occlusion and Low Resolution Robust Facial Gender
Classification via Progressively Trained Convolutional Neural
Networks with Attention",
        BOOKTITLE = Biometrics16,
        YEAR = "2016",
        PAGES = "136-145",
        BIBSOURCE = "http://www.visionbib.com/bibliography/people895g1.html#TT244435"}

@inproceedings{bb249570,
        AUTHOR = "Leo, M. and del Coco, M. and Carcagni, P. and Mazzeo, P.L. and Spagnolo, P. and Distante, C.",
        TITLE = "Intelligent Vision System for ASD Diagnosis and Assessment",
        BOOKTITLE = ACIVS16,
        YEAR = "2016",
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@inproceedings{bb249571,
        AUTHOR = "del Coco, M. and Carcagni, P. and Leo, M. and Mazzeo, P.L. and Spagnolo, P.",
        TITLE = "Assessment of deep learning for gender classification on traditional
datasets",
        BOOKTITLE = AVSS16,
        YEAR = "2016",
        PAGES = "271-277",
        BIBSOURCE = "http://www.visionbib.com/bibliography/people895g1.html#TT244437"}

@inproceedings{bb249572,
        AUTHOR = "Kakadiaris, I.A. and Sarafianos, N. and Nikou, C.",
        TITLE = "Show me your body: Gender classification from still images",
        BOOKTITLE = ICIP16,
        YEAR = "2016",
        PAGES = "3156-3160",
        BIBSOURCE = "http://www.visionbib.com/bibliography/people895g1.html#TT244438"}

@inproceedings{bb249573,
        AUTHOR = "Azzopardi, G. and Foggia, P. and Greco, A. and Saggese, A. and Vento, M.",
        TITLE = "Gender recognition from face images using trainable shape and color
features",
        BOOKTITLE = ICPR18,
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        PAGES = "1983-1988",
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@inproceedings{bb249574,
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        TITLE = "Gender recognition from face images with trainable COSFIRE filters",
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        YEAR = "2016",
        PAGES = "235-241",
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@inproceedings{bb249575,
        AUTHOR = "Azzopardi, G. and Greco, A. and Vento, M.",
        TITLE = "Gender Recognition from Face Images Using a Fusion of SVM Classifiers",
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        PAGES = "533-538",
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@inproceedings{bb249576,
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        TITLE = "Gender Classification by LUT Based Boosting of Overlapping Block
Patterns",
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        YEAR = "2015",
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@inproceedings{bb249577,
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        TITLE = "A gender classification approach based on 3D depth-radial curves and
fuzzy similarity based classification",
        BOOKTITLE = ISCV15,
        YEAR = "2015",
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@inproceedings{bb249578,
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        TITLE = "Age Estimation Based on Complexity-Aware Features",
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@inproceedings{bb249579,
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@inproceedings{bb249580,
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        TITLE = "Privacy of Facial Soft Biometrics:
Suppressing Gender But Retaining Identity",
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@inproceedings{bb249581,
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        TITLE = "Exploring the Magnitude of Human Sexual Dimorphism in 3D Face Gender
Classification",
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@inproceedings{bb249582,
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        TITLE = "Face, gender and race classification using multi-regularized features
learning",
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@inproceedings{bb249583,
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        TITLE = "Gender Identification in Unconstrained Scenarios Using
Self-Similarity of Gradients Features",
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@inproceedings{bb249584,
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        TITLE = "Perceptual Differences between Men and Women:
A 3D Facial Morphometric Perspective",
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@inproceedings{bb249585,
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Recognition under Unconstrained Settings",
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@inproceedings{bb249586,
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Contextual Information",
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@inproceedings{bb249589,
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@inproceedings{bb249591,
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@inproceedings{bb249592,
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@inproceedings{bb249593,
        AUTHOR = "Hassaine, A. and Maadeed, S.A. and Aljaam, J. and Jaoua, A.",
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@inproceedings{bb249594,
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@inproceedings{bb249595,
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shape descriptions",
        BOOKTITLE = FG13,
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@inproceedings{bb249596,
        AUTHOR = "Xia, B.Q. and Amor, B.B. and Drira, H. and Daoudi, M. and Ballihi, L.",
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@inproceedings{bb249597,
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Approaches for Face Gender Classification",
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@inproceedings{bb249598,
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Gender Recognition Using RGB-D Face Data",
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@inproceedings{bb249599,
        AUTHOR = "Guo, Z.X. and Bai, X. and Zhang, Z.H. and Zhou, J.",
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hyperspectral image classification",
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