[1] JORDAN M I,MITCHELL T M.Machine learning:trends,perspectives,and prospects[J].Science,2015,17(7):255-260.
[2] KRIZHEVSKY A,SUTSKEVER I,HINTON G E.Imagenet classification with deep convolutional neural networks[A].Proceedings of Advances in Neural Information Processing Systems[C].Lake Tahoe:NIPS,2012.1097-1105.
[3] HINTON G,et al.Deep neural networks for acoustic modeling in speech recognition:the shared views of four research groups[J].IEEE Signal Processing Magazine,2012,29(6):82-97.
[4] DU B,et al.Stacked convolutional denoising auto-encoders for feature representation[J].IEEE Transactions on Cybern,2016,16(3):1-11.
[5] WANG Y,et al.An efficient and effective convolutional auto-encoder extreme learning machine network for 3D feature learning[J].Neurocomputing,2016,22(1):988-998.
[6] LI Z,FAN Y,WANG F.Convolutional autoencoder-based color image classification using chroma subsampling in YCbCr space[A].Proceedings of 8th International Congress on Image and Signal Processing (CISP)[C].Shenyang:IEEE,2015.351-355.
[7] GENG J,FAN J,WANG H,et al.High-resolution SAR image classification via deep convolutional autoencoders[J].IEEE Geoscience and Remote Sensing Letters,2015,12(11):2351-2355.
[8] LENG B,GUO S,ZHANG X,et al.3D object retrieval with stacked local convolutional autoencoder[J].Signal Processing,2015,112:119-128.
[9] HAMESTER D,BARROS P,WERMTER S.Face expression recognition with a 2-channel convolutional neural network[A].Proceedings of 2015 International Joint Conference on Neural Networks (IJCNN)[C].Killarney:IEEE,2015.1-8.
[10] HOLDEN D,SAITO J,KOMURA T,et al.Learning motion manifolds with convolutional autoencoders[A].Proceedings of SIGGRAPH Asia 2015 Technical Briefs[C].New York:ACM,2015.18.
[11] LECUN Y,BENGIO Y,HINTON G.Deep learning[J].Nature,2015,521(7553):436-444.
[12] LI P,PENG L,WEN J.Rejecting character recognition errors using CNN based confidence estimation[J].Chinese Journal of Electronics,2016,25(3):520-526.
[13] CIRESAN D C,MEIER U,MASCI J,et al.Flexible,high performance convolutional neural networks for image classification[A].Proceedings of International Joint Conference on Artificial Intelligence (IJCAI)[C].USA:AAAI,2011.1237-1242.
[14] LEE C Y,GALLAGHER P W,TU Z.Generalizing pooling functions in convolutional neural networks:Mixed,gated,and tree[A].Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS)[C].Cadiz:JMLR,2016.464-472.
[15] CHEN L,ROTTENSTEINER F,HEIPKE C.Feature descriptor by convolution and pooling autoencoders[J].The International Archives of Photogrammetry,Remote Sensing and Spatial Information Sciences,2015,40(3):31-38.
[16] MALINOWSKI M,FRITZ M.Learnable pooling regions for image classification[A].Workshop at International Conference on Learning Representations[C].USA:arXiv Preprint,2013,arXiv:1301.3516.
[17] JIA Y,HUANG C,DARRELL T.Beyond spatial pyramids:Receptive field learning for pooled image features[A].Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)[C].Providence:IEEE,2012.3370-3377.
[18] SIMONYAN K,VEDALDI A,ZISSERMAN A.Descriptor learning using convex optimisation[A].Proceedings of 2012 European Conference on Computer Vision (ECCV)[C].Florence:Springer,2012.243-256.
[19] XU C,VASCONCELOS N.Learning receptive fields for pooling from tensors of feature response[A].Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)[C].Columbus:IEEE,2014.835-842.
[20] GONG Y,WANG L,GUO R,et al.Multi-scale orderless pooling of deep convolutional activation features[A].Proceedings of 2014 European Conference on Computer Vision (ECCV)[C].Zurich:Springer,2014.392-407.
[21] RYAN FANELLO S,NOCETI N,CILIBERTO C,et al.Ask the image:supervised pooling to preserve feature locality[A].Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)[C].Columbus:IEEE,2014.851-858.
[22] LI C,REITER A,HAGER G D.Beyond spatial pooling:fine-grained representation learning in multiple domains[A].Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)[C].Boston:IEEE,2015.4913-4922.
[23] HE K,ZHANG X,REN S,et al.Spatial pyramid pooling in deep convolutional networks for visual recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,37(9):1904-1916.
[24] SERMANET P,EIGEN D,ZHANG X,et al.Overfeat:Integrated recognition,localization and detection using convolutional networks[A].Workshop at International Conference on Learning Representations[C].USA:arXiv preprint,2013,arXiv:1312.6229.
[25] BO L,REN X,FOX D.Unsupervised feature learning for RGB-D based object recognition[A].Proceedings of the 13th International Symposium on Experimental Robotics[C].Berlin:Springer,2013.387-402.
[26] SOCHER R,HUVAL B,BATH B,et al.Convolutional-recursive deep learning for 3d object classification[A].Proceedings of the Advances in Neural Information Processing Systems[C].Lake Tahoe:NIPS,2012.665-673.
[27] COATES A,NG A Y,LEE H.An analysis of single-layer networks in unsupervised feature learning[A].Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS)[C].Fort Lauderdale:JMLR,2011.215-223.
[28] KRIZHEVSKY A.Learning Multiple Layers of Features From Tiny Images[D].Toronto:University of Toronto,2009.
[29] MALALUR S S,MANRY M T,JESUDHAS P.Multiple optimal learning factors for the multi-layer perceptron[J].Neurocomputing,2015,3(2):1490-1501.
[30] ELAWADY M.Sparse coral classification using deep convolutional neural networks[A].Workshop at International Conference on Learning Representations[C].USA:arXiv preprint,2015,arXiv:1511.0906.
[31] WANG W,YANG X,OOI B C,et al.Effective deep learning-based multi-modal retrieval[J].The VLDB Journal,2016,25(1):79-101.
[32] NG A Y,et al.Deep Learning[OL].http://deeplearning.stanford.edu/wiki/index.php[2014-11-18].
[33] ZEILER M D,FERGUS R.Stochastic pooling for regularization of deep convolutional neural networks[A].Workshop at International Conference on Learning Representations[C].USA:arXiv preprint,2013,arXiv:1301.3557.
[34] LIU L,SHEN C,VAN DEN HENGEL A.The treasure beneath convolutional layers:Cross-convolutional-layer pooling for image classification[A].Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)[C].Boston:IEEE,2015.4749-4757.
[35] BOUREAU Y L,PONCE J,LECUN Y.A theoretical analysis of feature pooling in visual recognition[A].Proceedings of the 27th International Conference on Machine Learning (ICML)[C].Haifa:ELSEVIER,2010.111-118.
[36] LI Z,FAN Y,LIU W.The effect of whitening transformation on pooling operations in convolutional autoencoders[J].EURASIP Journal on Advances in Signal Processing,2015,2015(37):1-11.
[37] LIAN Z,JING X,WANG X,et al.Drop connect regularization method with sparsity constraint for neural networks[J].Chinese Journal of Electronics,2016,25(1):152-158.
[38] MAATEN L,HINTON G.Visualizing data using t-SNE[J].Journal of Machine Learning Research,2008,9(9):2579-2605.
[39] VAN DER MAATEN L.Accelerating t-SNE using tree-based algorithms[J].Journal of Machine Learning Research,2014,15(1):3221-3245. |