A hybrid approach to building face shape classifier for hairstyle recommender system
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[1] Theekapun Charoenpong,et al. Face shape classification from 3D human data by using SVM , 2014, The 7th 2014 Biomedical Engineering International Conference.
[2] Simon Lucey,et al. Face alignment through subspace constrained mean-shifts , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[3] Chen Fang,et al. Visually-Aware Fashion Recommendation and Design with Generative Image Models , 2017, 2017 IEEE International Conference on Data Mining (ICDM).
[4] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[5] Davide Ballabio,et al. The Kohonen and CP-ANN toolbox: A collection of MATLAB modules for Self Organizing Maps and Counterpropagation Artificial Neural Networks , 2009 .
[6] Dimitrios I. Fotiadis,et al. Multiple Kernel Learning Algorithms and Their Use in Biomedical Informatics , 2016 .
[7] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[8] Kunihiko Fukushima,et al. Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition , 1982 .
[9] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[10] Stefan Winkler,et al. Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning , 2015, ICMI.
[11] Ronald M. Summers,et al. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning , 2016, IEEE Transactions on Medical Imaging.
[12] Youngjoon Han,et al. An AAM-based Face Shape Classification Method Used for Facial Expression Recognition , 2013 .
[13] David Zhang,et al. Facial beauty analysis based on geometric feature: Toward attractiveness assessment application , 2017, Expert Syst. Appl..
[14] S. Siegel,et al. Nonparametric Statistics for the Behavioral Sciences , 2022, The SAGE Encyclopedia of Research Design.
[15] Erik Learned-Miller,et al. FDDB: A benchmark for face detection in unconstrained settings , 2010 .
[16] Alioune Ngom,et al. A review on machine learning principles for multi-view biological data integration , 2016, Briefings Bioinform..
[17] Sule Yildirim Yayilgan,et al. Combining deep learning and hand-crafted features for skin lesion classification , 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).
[18] Wisuwat Sunhem,et al. An approach to face shape classification for hairstyle recommendation , 2016, 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI).
[19] Rainer Lienhart,et al. An extended set of Haar-like features for rapid object detection , 2002, Proceedings. International Conference on Image Processing.
[20] Kitsuchart Pasupa,et al. Drug screening with Elastic-net multiple kernel learning , 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.
[21] Kitsuchart Pasupa,et al. Fashion Finder: A System for Locating Online Stores on Instagram from Product Images , 2018, 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE).
[22] Xiang Li,et al. An enhanced deep feature representation for person re-identification , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[23] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Marko Robnik-Sikonja,et al. An adaptation of Relief for attribute estimation in regression , 1997, ICML.
[25] Pichao Wang,et al. Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifier , 2017, Multimedia Tools and Applications.
[26] Wisuwat Sunhem,et al. A comparison between shallow and deep architecture classifiers on small dataset , 2016, 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE).
[27] Yang Zhong,et al. Face attribute prediction using off-the-shelf CNN features , 2016, 2016 International Conference on Biometrics (ICB).
[28] Timothy F. Cootes,et al. Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[29] Zhengpeng Wu,et al. Elastic Multiple Kernel Learning , 2011 .
[30] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[31] Mikkel B. Stegmann,et al. Active appearance models: Theory and cases , 2000 .
[32] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[34] N K Bansode,et al. Face Shape Classification Based on Region Similarity, Correlation and Fractal Dimensions , 2016 .
[35] Qiang Yang,et al. Distant Domain Transfer Learning , 2017, AAAI.
[36] Mislav Grgic,et al. SCface – surveillance cameras face database , 2011, Multimedia Tools and Applications.
[37] Fengying Wang,et al. Research on the Personalized Recommendation Algorithm for Hairdressers , 2016 .