CSFL: A novel unsupervised convolution neural network approach for visual pattern classification

[1]  Chengsheng Yuan,et al.  Fingerprint liveness detection based on multi-scale LPQ and PCA , 2016, China Communications.

[2]  Xingming Sun,et al.  Fast Motion Estimation Based on Content Property for Low-Complexity H.265/HEVC Encoder , 2016, IEEE Transactions on Broadcasting.

[3]  Yawei Li,et al.  A pre-training strategy for convolutional neural network applied to Chinese digital gesture recognition , 2016, 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN).

[4]  Yongfeng Huang,et al.  Face recognition: A novel un-supervised convolutional neural network method , 2016, 2016 IEEE International Conference of Online Analysis and Computing Science (ICOACS).

[5]  Dongdai Lin,et al.  Robust Face Clustering Via Tensor Decomposition , 2015, IEEE Transactions on Cybernetics.

[6]  Shuicheng Yan,et al.  Facial Analysis With a Lie Group Kernel , 2015, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Sam Kwong,et al.  Efficient Motion and Disparity Estimation Optimization for Low Complexity Multiview Video Coding , 2015, IEEE Transactions on Broadcasting.

[8]  Ling Shao,et al.  A rapid learning algorithm for vehicle classification , 2015, Inf. Sci..

[9]  Roseli A. Francelin Romero,et al.  Mapping of Facial Elements for Emotion Analysis , 2014, 2014 Brazilian Conference on Intelligent Systems.

[10]  Gökhan Bilgin,et al.  Classification of histopathological images using convolutional neural network , 2014, 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA).

[11]  Wenhan Luo,et al.  Unified Face Analysis by Iterative Multi-output Random Forests , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[12]  Reyer Zwiggelaar,et al.  Thermal Facial Analysis for Deception Detection , 2014, IEEE Transactions on Information Forensics and Security.

[13]  Hassan Ugail,et al.  A database for facial behavioural analysis , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

[14]  S. Fatahi,et al.  Face recognition with Linear Discriminant Analysis and neural networks , 2013, 2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA).

[15]  S. Himavathi,et al.  Principal component analysis based cascade neural network for face recognition , 2012, 2012 International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET).

[16]  Christian Wolf,et al.  Sparse shift-invariant representation of local 2D patterns and sequence learning for human action recognition , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[17]  Kolawole John Adebayo,et al.  Comparative analysis of PCA-based and Neural Network based face recognition systems , 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

[18]  Francisco G. Bulnes,et al.  Classification of periodical defects in inspection systems based on computer vision , 2012, AI Commun..

[19]  Luca Pulina,et al.  Challenging SMT solvers to verify neural networks , 2012, AI Commun..

[20]  Jiquan Ngiam,et al.  Sparse Filtering , 2011, NIPS.

[21]  Chandra Kambhamettu,et al.  VADANA: A dense dataset for facial image analysis , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[22]  Arsalane Zarghili,et al.  Color facial authentication system based on neural network , 2011, 2011 Colloquium in Information Science and Technology.

[23]  Hassan Ugail,et al.  Facial image processing for facial analysis , 2010, 44th Annual 2010 IEEE International Carnahan Conference on Security Technology.

[24]  Y-Lan Boureau,et al.  Learning Convolutional Feature Hierarchies for Visual Recognition , 2010, NIPS.

[25]  Jaime S. Cardoso,et al.  The data replication method for the classification with reject option , 2010, AI Commun..

[26]  Geoffrey E. Hinton,et al.  Melting of Peridotite to 140 Gigapascals , 2010, Science.

[27]  Geoffrey E. Hinton,et al.  Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.

[28]  Yoshua Bengio,et al.  Why Does Unsupervised Pre-training Help Deep Learning? , 2010, AISTATS.

[29]  Jean-Luc Dugelay,et al.  Object detection with a minimal set of examples using Convolutional PCA , 2009, 2009 IEEE International Workshop on Multimedia Signal Processing.

[30]  Yann LeCun,et al.  What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[31]  R. Fergus,et al.  Learning invariant features through topographic filter maps , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[32]  Honglak Lee,et al.  Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.

[33]  Yihong Gong,et al.  Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks , 2008, ECCV.

[34]  Nicolas Pinto,et al.  Why is Real-World Visual Object Recognition Hard? , 2008, PLoS Comput. Biol..

[35]  Geoffrey E. Hinton,et al.  Restricted Boltzmann machines for collaborative filtering , 2007, ICML '07.

[36]  Marc'Aurelio Ranzato,et al.  Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[37]  Inés María Galván,et al.  LRBNN: A Lazy Radial Basis Neural Network model , 2007, AI Commun..

[38]  Abdesselam Bouzerdoum,et al.  A Pyramidal Neural Network For Visual Pattern Recognition , 2007, IEEE Transactions on Neural Networks.

[39]  Yoshua Bengio,et al.  Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.

[40]  Mikhail Belkin,et al.  Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..

[41]  David G. Lowe,et al.  Multiclass Object Recognition with Sparse, Localized Features , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[42]  Cordelia Schmid,et al.  Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[43]  Yann LeCun,et al.  Large-scale Learning with SVM and Convolutional for Generic Object Categorization , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[44]  B. Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[45]  Jitendra Malik,et al.  Shape matching and object recognition using low distortion correspondences , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[46]  Thomas Serre,et al.  Object recognition with features inspired by visual cortex , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[47]  Meng Joo Er,et al.  High-speed face recognition based on discrete cosine transform and RBF neural networks , 2005, IEEE Transactions on Neural Networks.

[48]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[49]  J. L. Blue,et al.  Neural network-based systems for handprint OCR applications , 1998, IEEE Trans. Image Process..

[50]  David J. Field,et al.  Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.

[51]  Federico Girosi,et al.  Training support vector machines: an application to face detection , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[52]  Larry S. Davis,et al.  Human expression recognition from motion using a radial basis function network architecture , 1996, IEEE Trans. Neural Networks.

[53]  Takeo Kanade,et al.  Neural network-based face detection , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[54]  Martin A. Riedmiller,et al.  A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.

[55]  H. Itakura,et al.  A car detection system using the neocognitron , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

[56]  K Fukushima,et al.  Handwritten alphanumeric character recognition by the neocognitron , 1991, IEEE Trans. Neural Networks.

[57]  J. Nocedal Updating Quasi-Newton Matrices With Limited Storage , 1980 .

[58]  Antonio J. Tallón-Ballesteros,et al.  Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification , 2016, AI Commun..

[59]  Yufei Huang,et al.  Prediction of driver's drowsy and alert states from EEG signals with deep learning , 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[60]  M. Sebag A tour of machine learning: An AI perspective , 2014, AI Commun..

[61]  S. L. Phung,et al.  Skin segmentation using color pixel classification: analysis and comparison , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[62]  Raphaël Féraud,et al.  A Fast and Accurate Face Detector Based on Neural Networks , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[63]  Tomaso A. Poggio,et al.  Example-Based Learning for View-Based Human Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[64]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[65]  Ah Chung Tsoi,et al.  Face recognition: a convolutional neural-network approach , 1997, IEEE Trans. Neural Networks.

[66]  Lawrence D. Jackel,et al.  Handwritten Digit Recognition with a Back-Propagation Network , 1989, NIPS.

[67]  Kunihiko Fukushima,et al.  Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position , 1982, Pattern Recognit..