Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines
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Matheus Gutoski | Heitor Silvério Lopes | Leandro Takeshi Hattori | Nelson Marcelo Romero Aquino | L. T. Hattori | H. S. Lopes | M. Gutoski
[1] Alan C. Bovik,et al. Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures , 2009, IEEE Signal Processing Magazine.
[2] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[3] Qi Tian,et al. Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[4] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[5] Shaogang Gong,et al. Person Re-identification by Attributes , 2012, BMVC.
[6] Shengcai Liao,et al. Multi-label CNN based pedestrian attribute learning for soft biometrics , 2015, 2015 International Conference on Biometrics (ICB).
[7] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[8] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[9] Léon Bottou,et al. Large-Scale Machine Learning with Stochastic Gradient Descent , 2010, COMPSTAT.
[10] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[11] Hai Tao,et al. Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features , 2008, ECCV.
[12] Heitor Silvério Lopes,et al. Extracting human attributes using a convolutional neural network approach , 2015, Pattern Recognit. Lett..
[13] Rita Cucchiara,et al. 3DPeS: 3D people dataset for surveillance and forensics , 2011, J-HGBU '11.
[14] Horst Bischof,et al. Person Re-identification by Descriptive and Discriminative Classification , 2011, SCIA.
[15] Emmanuelle Gouillart,et al. scikit-image: image processing in Python , 2014, PeerJ.
[16] Tal Hassner,et al. Age and gender classification using convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[17] Jonghyun Choi,et al. Learning Temporal Regularity in Video Sequences , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[19] Jürgen Schmidhuber,et al. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction , 2011, ICANN.
[20] Mark S. Nixon,et al. Retrieving relative soft biometrics for semantic identification , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[21] Xiaolong Wang,et al. Deeply-Learned Feature for Age Estimation , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.
[22] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[23] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[24] Ce Liu,et al. Deep Convolutional Neural Network for Image Deconvolution , 2014, NIPS.
[25] Larry S. Davis,et al. Learning Discriminative Appearance-Based Models Using Partial Least Squares , 2009, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing.
[26] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..