Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming

[1]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[2]  Pietro Perona,et al.  A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[3]  Xianhua Zeng,et al.  Deep forest hashing for image retrieval , 2019, Pattern Recognit..

[4]  Bing Xue,et al.  An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier] , 2020, IEEE Computational Intelligence Magazine.

[5]  Mengjie Zhang,et al.  Evolving Deep Convolutional Neural Networks for Image Classification , 2017, IEEE Transactions on Evolutionary Computation.

[6]  Zhi-Hua Zhou,et al.  Ensemble Methods: Foundations and Algorithms , 2012 .

[7]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Rich Caruana,et al.  Do Deep Nets Really Need to be Deep? , 2013, NIPS.

[9]  Andy Harter,et al.  Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.

[10]  Mengjie Zhang,et al.  Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification , 2020, IEEE Transactions on Cybernetics.

[11]  Hod Lipson,et al.  Autostacker: a compositional evolutionary learning system , 2018, GECCO.

[12]  David J. Kriegman,et al.  Acquiring linear subspaces for face recognition under variable lighting , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Mengjie Zhang,et al.  A survey on evolutionary machine learning , 2019, Journal of the Royal Society of New Zealand.

[14]  Mengjie Zhang,et al.  An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

[15]  Ayse Basar Bener,et al.  Deep Super Learner: A Deep Ensemble for Classification Problems , 2018, Canadian Conference on AI.

[16]  Zenghui Wang,et al.  Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review , 2017, Neural Computation.

[17]  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).

[18]  Ji Feng,et al.  Deep Forest: Towards An Alternative to Deep Neural Networks , 2017, IJCAI.

[19]  Dacheng Tao,et al.  Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[20]  Lior Rokach,et al.  Ensemble learning: A survey , 2018, WIREs Data Mining Knowl. Discov..

[21]  Thomas G. Dietterich.  Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.

[22]  He Jiang,et al.  Combating Fake News , 2019, ACM Trans. Intell. Syst. Technol..

[23]  David J. Montana,et al.  Strongly Typed Genetic Programming , 1995, Evolutionary Computation.

[24]  Ji Feng,et al.  Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud , 2018, ACM Trans. Intell. Syst. Technol..

[25]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[26]  Rong Gu,et al.  ForestLayer: Efficient training of deep forests on distributed task-parallel platforms , 2019, J. Parallel Distributed Comput..

[27]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[28]  Mengjie Zhang,et al.  An automated ensemble learning framework using genetic programming for image classification , 2019, GECCO.

[29]  Alfredo Milani,et al.  Learning Bayesian Networks with Algebraic Differential Evolution , 2018, PPSN.

[30]  Asifullah Khan,et al.  A survey of the recent architectures of deep convolutional neural networks , 2019, Artificial Intelligence Review.

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

[32]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[33]  Yee Whye Teh,et al.  A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.

[34]  Tianqi Chen,et al.  XGBoost: A Scalable Tree Boosting System , 2016, KDD.