Discriminative matrix-variate restricted Boltzmann machine classification model

[1]  Zhihan Lv,et al.  Big Data Analysis Based Network Behavior Insight of Cellular Networks for Industry 4.0 Applications , 2020, IEEE Transactions on Industrial Informatics.

[2]  Houbing Song,et al.  Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis , 2020, IEEE Transactions on Network Science and Engineering.

[3]  Lei Shi,et al.  A Compressive Sensing-Based Approach to End-to-End Network Traffic Reconstruction , 2020, IEEE Transactions on Network Science and Engineering.

[4]  Hong Wen,et al.  Adaboost-based security level classification of mobile intelligent terminals , 2019, The Journal of Supercomputing.

[5]  Yonghui Song,et al.  A New Deep-Q-Learning-Based Transmission Scheduling Mechanism for the Cognitive Internet of Things , 2018, IEEE Internet of Things Journal.

[6]  Ping Wang,et al.  A Lightweight End-Side User Experience Data Collection System for Quality Evaluation of Multimedia Communications , 2018, IEEE Access.

[7]  Zhihan Lv,et al.  A Joint Multi-Criteria Utility-Based Network Selection Approach for Vehicle-to-Infrastructure Networking , 2018, IEEE Transactions on Intelligent Transportation Systems.

[8]  Xiang Li,et al.  An infinite classification RBM model for radar HRRP recognition , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

[9]  Junbin Gao,et al.  Matrix variate RBM model with Gaussian distributions , 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

[10]  Junbin Gao,et al.  Matrix Neural Networks , 2016, ISNN.

[11]  Houbing Song,et al.  Statistical Resolution Limit Analysis of Two Closely Spaced Signal Sources Using Rao Test , 2017, IEEE Access.

[12]  Junbin Gao,et al.  Matrix Variate Restricted Boltzmann Machine , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

[13]  Wen Gao,et al.  Image classification using RBM to encode local descriptors with group sparse learning , 2015, 2015 IEEE International Conference on Image Processing (ICIP).

[14]  Junbin Gao,et al.  Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA , 2015, IEEE Transactions on Image Processing.

[15]  Guo-Sen Xie,et al.  Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[16]  Jing Wang,et al.  2DPCA with L1-norm for simultaneously robust and sparse modelling , 2013, Neural Networks.

[17]  Christian Igel,et al.  An Introduction to Restricted Boltzmann Machines , 2012, CIARP.

[18]  Geoffrey E. Hinton A Practical Guide to Training Restricted Boltzmann Machines , 2012, Neural Networks: Tricks of the Trade.

[19]  Razvan Pascanu,et al.  Learning Algorithms for the Classification Restricted Boltzmann Machine , 2012, J. Mach. Learn. Res..

[20]  Wai Keung Wong,et al.  Deep Learning Regularized Fisher Mappings , 2011, IEEE Transactions on Neural Networks.

[21]  Tapani Raiko,et al.  Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines , 2011, ICANN.

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

[23]  Yang Wang,et al.  Human Action Recognition by Semilatent Topic Models , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[25]  Geoffrey E. Hinton,et al.  Reducing the Dimensionality of Data with Neural Networks , 2006, Science.

[26]  Ming Li,et al.  2D-LDA: A statistical linear discriminant analysis for image matrix , 2005, Pattern Recognit. Lett..

[27]  Jian Yang,et al.  Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  Bernt Schiele,et al.  Analyzing appearance and contour based methods for object categorization , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[29]  Jian Yang,et al.  From image vector to matrix: a straightforward image projection technique - IMPCA vs. PCA , 2002, Pattern Recognit..

[30]  J. Tenenbaum,et al.  A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.

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

[32]  Sameer A. Nene,et al.  Columbia Object Image Library (COIL100) , 1996 .