Oceanic Data Analysis with Deep Learning Models
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Xin Sun | Junyu Dong | Guoqiang Zhong | Hui Wang | Estanislau Lima | Qin Zhang | Li-Na Wang | Biao Shen | Junyu Dong | Xin Sun | E. Lima | G. Zhong | Lina Wang | Biao Shen | Qin Zhang | Hui Wang
[1] Guoqiang Zhong,et al. Classification of photographed document images based on deep-learning features , 2017, International Conference on Graphic and Image Processing.
[2] Wu-Jun Li,et al. Gaussian Process Latent Random Field , 2010, AAAI.
[3] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[4] Neil D. Lawrence,et al. Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models , 2005, J. Mach. Learn. Res..
[5] Mohamed Cheriet,et al. Manifold learning for the shape-based recognition of historical arabic documents , 2013 .
[6] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[7] Shuicheng Yan,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007 .
[8] Junyu Dong,et al. Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks , 2017, Remote. Sens..
[9] I. Jolliffe. Principal Component Analysis , 2002 .
[10] Pascal Vincent,et al. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion , 2010, J. Mach. Learn. Res..
[11] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[12] Junyu Dong,et al. Natural image illuminant estimation via deep non-negative matrix factorisation , 2018, IET Image Process..
[13] Marc'Aurelio Ranzato,et al. Large Scale Distributed Deep Networks , 2012, NIPS.
[14] Guoqiang Zhong,et al. A deep-learning model for the amplitude inversion of internal waves based on optical remote-sensing images , 2018 .
[15] Peter Cornillon,et al. SST fronts of the Pacific coastal and marginal seas , 2003 .
[16] Kaizhu Huang,et al. Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification , 2018, Cognitive Computation.
[17] Byunghan Lee,et al. Deep learning in bioinformatics , 2016, Briefings Bioinform..
[18] Jong-Seong Kug,et al. A statistical approach to Indian Ocean sea surface temperature prediction using a dynamical ENSO prediction , 2004 .
[19] Huiyu Zhou,et al. Merging Neurons for Structure Compression of Deep Networks , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[20] Cong Liu,et al. Underwater image colour constancy based on DSNMF , 2017, IET Image Process..
[21] Peter Cornillon,et al. Edge Detection Algorithm for SST Images , 1992 .
[22] William W. Hsieh,et al. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels , 2009 .
[23] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Cheng-Lin Liu,et al. Error-correcting output codes based ensemble feature extraction , 2013, Pattern Recognit..
[25] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[26] Mohamed Cheriet,et al. Tensor representation learning based image patch analysis for text identification and recognition , 2015, Pattern Recognit..
[27] Peter I. Miller,et al. Seasonal shelf-sea front mapping using satellite ocean colour and temperature to support development of a marine protected area network , 2015 .
[28] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[29] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[30] Ambedkar Dukkipati,et al. Learning by Stretching Deep Networks , 2014, ICML.
[31] Guoqiang Zhong,et al. Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery , 2014, AAAI.
[32] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[33] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[34] Mohamed Cheriet,et al. Tandem hidden Markov models using deep belief networks for offline handwriting recognition , 2017, Frontiers of Information Technology & Electronic Engineering.
[35] Nadav Cohen,et al. On the Expressive Power of Deep Learning: A Tensor Analysis , 2015, COLT 2016.
[36] Yoshua Bengio,et al. Why Does Unsupervised Pre-training Help Deep Learning? , 2010, AISTATS.
[37] Junyu Dong,et al. Deep Error-Correcting Output Codes , 2017, Algorithms.
[38] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[39] Samy Bengio,et al. Large Scale Online Learning of Image Similarity Through Ranking , 2009, J. Mach. Learn. Res..
[40] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[41] Junyu Dong,et al. Deep hashing learning networks , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[42] Mohamed Cheriet,et al. Low Rank Tensor Manifold Learning , 2014, Low-Rank and Sparse Modeling for Visual Analysis.
[43] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[44] Junyu Dong,et al. Learning and Transferring Convolutional Neural Network Knowledge to Ocean Front Recognition , 2017, IEEE Geoscience and Remote Sensing Letters.
[45] Yun Fu,et al. Scalable large margin online metric learning , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[46] Kaizhu Huang,et al. Is DeCAF Good Enough for Accurate Image Classification? , 2015, ICONIP.
[47] Makarand Deo,et al. Prediction of Sea Surface Temperature by Combining Numerical and Neural Techniques , 2016 .
[48] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[49] Xiaofei He,et al. Locality Preserving Projections , 2003, NIPS.
[50] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[51] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Junyu Dong,et al. Prediction of Sea Surface Temperature Using Long Short-Term Memory , 2017, IEEE Geoscience and Remote Sensing Letters.
[53] Zhengming Ding,et al. Latent Tensor Transfer Learning for RGB-D Action Recognition , 2014, ACM Multimedia.
[54] Geoffrey E. Hinton,et al. Stochastic Neighbor Embedding , 2002, NIPS.
[55] Alex Graves,et al. Grid Long Short-Term Memory , 2015, ICLR.
[56] Junyu Dong,et al. Stretching deep architectures for text recognition , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).
[57] Ying Gao,et al. Perception driven texture generation , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[58] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[59] G. Baudat,et al. Generalized Discriminant Analysis Using a Kernel Approach , 2000, Neural Computation.
[60] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[61] R. Khanna,et al. Support Vector Regression , 2015 .
[62] Mohamed Cheriet,et al. Relational Fisher Analysis: A general framework for dimensionality reduction , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[63] Ohad Shamir,et al. The Power of Depth for Feedforward Neural Networks , 2015, COLT.
[64] Mohamed Cheriet,et al. Image patches analysis for text block identification , 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).
[65] William W. Hsieh. Machine Learning Methods in the Environmental Sciences: Contents , 2009 .
[66] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[67] Junyu Dong,et al. Visual Texture Perception with Feature Learning Models and Deep Architectures , 2014, CCPR.
[68] Yan Zheng,et al. Convolutional Discriminant Analysis , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[69] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[70] Yun Fu,et al. SLMOML: Online Metric Learning With Global Convergence , 2018, IEEE Transactions on Circuits and Systems for Video Technology.
[71] Xiao Li,et al. Machine Learning Paradigms for Speech Recognition: An Overview , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[72] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[73] Guoqiang Zhong,et al. From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures , 2019, WIREs Data Mining Knowl. Discov..
[74] Junyu Dong,et al. Ocean Front Detection From Instant Remote Sensing SST Images , 2016, IEEE Geoscience and Remote Sensing Letters.
[75] Alex Graves,et al. Generating Sequences With Recurrent Neural Networks , 2013, ArXiv.
[76] Junyu Dong,et al. An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning , 2016, ArXiv.
[77] Mohamed Cheriet,et al. Large Margin Low Rank Tensor Analysis , 2013, Neural Computation.
[78] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[79] Guoqiang Zhong,et al. The Necessary and Sufficient Conditions for the Existence of the Optimal Solution of Trace Ratio Problems , 2016, CCPR.
[80] Mohamed Cheriet,et al. Adaptive Error-Correcting Output Codes , 2013, IJCAI.
[81] Guoqiang Zhong,et al. A novel model of estimating sea state bias based on multi-layer neural network and multi-source altimeter data , 2018 .
[82] Kaizhu Huang,et al. Low Rank Metric Learning with Manifold Regularization , 2011, 2011 IEEE 11th International Conference on Data Mining.
[83] Nicholas G. Polson,et al. Deep Learning in Finance , 2016, ArXiv.
[84] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.