Neural-Response-Based Extreme Learning Machine for Image Classification
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[1] Geoffrey E. Hinton,et al. Deep Boltzmann Machines , 2009, AISTATS.
[2] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Robert P. W. Duin,et al. Feedforward neural networks with random weights , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.
[4] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[5] Hongkai Zhao,et al. Variational Hamiltonian Monte Carlo via Score Matching. , 2016, Bayesian analysis.
[6] Guang-Bin Huang,et al. Extreme Learning Machine for Multilayer Perceptron , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[7] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[8] Stefano Fusi,et al. The Sparseness of Mixed Selectivity Neurons Controls the Generalization–Discrimination Trade-Off , 2013, The Journal of Neuroscience.
[9] Bo Liu,et al. Image classification based on effective extreme learning machine , 2013, Neurocomputing.
[10] Guang-Bin Huang,et al. Convex incremental extreme learning machine , 2007, Neurocomputing.
[11] Donald W. Marquaridt. Generalized Inverses, Ridge Regression, Biased Linear Estimation, and Nonlinear Estimation , 1970 .
[12] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[13] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[14] Ah Chung Tsoi,et al. Face recognition: a convolutional neural-network approach , 1997, IEEE Trans. Neural Networks.
[15] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[16] L. C. Kasun,et al. Representational Learning with Extreme Learning Machine for Big Data Liyanaarachchi , 2022 .
[17] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[18] Na Chen,et al. Error Analysis for Matrix Elastic-Net Regularization Algorithms , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[19] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[20] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[21] Guang-Bin Huang,et al. An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels , 2014, Cognitive Computation.
[22] Halbert White,et al. Approximate Nonlinear Forecasting Methods , 2006 .
[23] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[24] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[25] Rasmus Berg Palm,et al. Prediction as a candidate for learning deep hierarchical models of data , 2012 .
[26] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[27] Quoc V. Le,et al. Tiled convolutional neural networks , 2010, NIPS.
[28] H. White,et al. An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks , 1989, International 1989 Joint Conference on Neural Networks.
[29] Yicong Zhou,et al. Extreme Learning Machine With Composite Kernels for Hyperspectral Image Classification , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[30] Hongming Zhou,et al. Extreme Learning Machine for Regression and Multiclass Classification , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[31] Hongming Zhou,et al. Extreme Learning Machine based fast object recognition , 2012, 2012 15th International Conference on Information Fusion.
[32] Chi-Man Vong,et al. Local Receptive Fields Based Extreme Learning Machine , 2015, IEEE Computational Intelligence Magazine.
[33] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[34] Chee Kheong Siew,et al. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes , 2006, IEEE Transactions on Neural Networks.
[35] 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).
[36] C. L. Philip Chen,et al. Hierarchical Feature Extraction With Local Neural Response for Image Recognition , 2013, IEEE Transactions on Cybernetics.
[37] Yantao Wei,et al. Similarity learning for object recognition based on derived kernel , 2012, Neurocomputing.
[38] Cheng Wu,et al. Semi-Supervised and Unsupervised Extreme Learning Machines , 2014, IEEE Transactions on Cybernetics.
[39] Lei Chen,et al. Enhanced random search based incremental extreme learning machine , 2008, Neurocomputing.
[40] Thomas Serre,et al. Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Lorenzo Rosasco,et al. Publisher Accessed Terms of Use Detailed Terms Mathematics of the Neural Response , 2022 .
[42] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[43] Guang-Bin Huang,et al. Trends in extreme learning machines: A review , 2015, Neural Networks.
[44] Guang-Bin Huang,et al. Extreme learning machine: a new learning scheme of feedforward neural networks , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[45] Babak Shahbaba,et al. Hamiltonian Monte Carlo acceleration using surrogate functions with random bases , 2015, Statistics and Computing.
[46] Q. M. Jonathan Wu,et al. Incremental Learning in Human Action Recognition Based on Snippets , 2012, IEEE Transactions on Circuits and Systems for Video Technology.
[47] Yuan Yan Tang,et al. Sparse-based neural response for image classification , 2014, Neurocomputing.