Deep Learning Publication Navigator - subtopic: restricted boltzmann machines


Year TitleAuthor
2017   Restricted Boltzmann Machines for Vector Representation of Speech in Speaker Recognition  O Ghahabi, J Hernando
2017   Gaussian-binary restricted Boltzmann machines for modeling natural image statistics  J Melchior, N Wang, L Wiskott
2017   Exploiting Restricted Boltzmann Machines and Deep Belief Networks in Compressed Sensing  LF Polania, KE Barner
2017   Convolutional Neural Networks Arise From Ising Models and Restricted Boltzmann Machines  S Pai
2017   Nonequilibrium Thermodynamics of Restricted Boltzmann Machines  DSP Salazar
2017   Fuzzy Restricted Boltzmann Machines  RW Harrison, C Freas
2017   On the Equivalence of Restricted Boltzmann Machines and Tensor Network States  J Chen, S Cheng, H Xie, L Wang, T Xiang
2017   Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs  K Fan
2017   Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints  J Chu, H Wang, H Meng, P Jin, T Li
2017   Restricted Boltzmann Machines in Sensory Motor Rhythm Brain-Computer Interfacing: A Study on Inter-Subject Transfer and Co-Adaptation  RJ Kobler, R Scherer
2017   Improving the Generalization Ability of Restricted Boltzmann Machines via Theta Pure Dependency  Q Xu, Y Hou
2017   Protein Function Prediction using Deep Restricted Boltzmann Machines  X Zou, G Wang, G Yu
2017   Propositional Knowledge Representation in Restricted Boltzmann Machines  SN Tran
2017   A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines  EW Tramel, M Gabrié, A Manoel, F Caltagirone
2017   Voice Activity Detection Using Discriminative Restricted Boltzmann Machines  RG Borin, MTM Silva
2017   Lecture Notes on Restricted Boltzmann Machines  L Wiskott
2017   An overview on restricted boltzmann machines  N Zhang, S Ding, J Zhang, Y Xue
2017   Restricted Boltzmann Machines and Deep Belief Networks on Sunway Cluster  K Song, Y Liu, R Wang, M Zhao, Z Hao, D Qian
2017   Training Restricted Boltzmann Machines Using High-Temperature Expansions  P Budzianowski
2017   A Systematic Approach for the Application of Restricted Boltzmann Machines in Network Intrusion Detection  A Gouveia, M Correia
2017   Biasing Restricted Boltzmann Machines using Gaussian Filters to Learn Invariant Visual Features  A Yogeswaran, P Payeur
2017   Elastic restricted Boltzmann machines for cancer data analysis  S Zhang, M Liang, Z Zhou, C Zhang, N Chen, T Chen
2017   A deep learning scheme for mental workload classification based on restricted Boltzmann machines  J Zhang, S Li
2016   Speech steganalysis using evolutionary restricted Boltzmann machines  C Paulin, SA Selouani, É Hervet
2016   FPGA Implementation of a Scalable and Highly Parallel Architecture for Restricted Boltzmann Machines  K Ueyoshi, T Marukame, T Asai, M Motomura
2016   Efficient Machine Learning Using Partitioned Restricted Boltzmann Machines  H Tosun
2016   Combining Generative and Discriminative Representation Learning for Lung CT Analysis with Convolutional Restricted Boltzmann Machines  G van Tulder, M de Bruijne
2016   Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints  S Lattner, M Grachten, G Widmer
2016   Enhanced Factored Three-Way Restricted Boltzmann Machines for Speech Detection  P Sun, J Qin
2016   Accurate prediction of docked protein structure similarity using neural networks and restricted Boltzmann machines  R Farhoodi, B Akbal
2016   Deep Learning using Restricted Boltzmann Machines  N Agarwalla, D Panda, MK Modi
2016   Class Sparsity Signature based Restricted Boltzmann Machines  A Sankaran, G Goswami, M Vatsa, R Singh
2016   Average Contrastive Divergence for Training Restricted Boltzmann Machines  X Ma, X Wang
2016   Action Recognition Using Convolutional Restricted Boltzmann Machines  P Palasek, I Patras
2016   Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank  J Xu, H Chen, S Zhou, B He
2016   Robustness of hardware-oriented restricted Boltzmann machines in deep belief networks for reliable processing  K Ueyoshi, T Marukame, T Asai, M Motomura
2016   Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines  L Huang, L Wang
2016   Image classification with stacked restricted boltzmann machines and evolutionary function array classification voter  S Chen, G Liu, C Wu, Z Jiang, J Chen
2016   In Implementation of Deep Belief Networks Using Restricted Boltzmann Machines in Clojure  JC Sims
2016   Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes  Z Han, Z Liu, J Han, CM Vong, S Bu, CLP Chen
2016   A Method of Discriminative Features Extraction for Restricted Boltzmann Machines  S Guo, C Zhou, B Wang, S Zhou
2016   On the propriety of restricted Boltzmann machines  A Kaplan, D Nordman, S Vardeman
2016   Restricted Boltzmann Machines Without Random Number Generators for Efficient Digital Hardware Implementation  S Hori, T Morie, H Tamukoh
2016   Root-cause localization using Restricted Boltzmann Machines  HJ Steinhauer, A Karlsson, G Mathiason, T Helldin
2016   Representation decomposition for knowledge extraction and sharing using restricted Boltzmann machines  S Tran
2016   Temperature based Restricted Boltzmann Machines  G Li, L Deng, Y Xu, C Wen, W Wang, J Pei, L Shi
2016   Class-specific mid-level feature learning with the Discriminative Group-wise Beta-Bernoulli process restricted Boltzmann machines  HJ Lee, KS Hong
2015   Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)  T Tran, TD Nguyen, D Phung, S Venkatesh
2015   Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels  X Li, F Zhao, Y Guo
2015   An optimized dimensionality reduction model for high-dimensional data based on Restricted Boltzmann Machines  K Zhang, J Liu, Y Chai, K Qian
2015   On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony Search  JP Papa, GH Rosa, KA Costa, NA Marana, W Scheirer
2015   Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy  M Gabrié, EW Tramel, F Krzakala
2015   Hardware implementation of re-configurable Restricted Boltzmann Machines for image recognition  SJ Desai
2015   An incremental learning approach for restricted boltzmann machines  J Yu, J Gwak, S Lee, M Jeon
2015   Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation  R Hrasko, AGC Pacheco, RA Krohling
2015   Factored Four Way Conditional Restricted Boltzmann Machines for Activity Recognition  DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta
2015   Topologically Ordered Feature Extraction Based on Sparse Group Restricted Boltzmann Machines  Z Chena, S Xionga, Z Fangb, R Zhanga, X Konga
2015   Mask selective regularization for restricted Boltzmann machines  J Mansanet, A Albiol, R Paredes, A Albiol
2015   Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines  CEC Chacón
2015   Mixing Rates for the Gibbs Sampler over Restricted Boltzmann Machines  C Tosh
2015   Credit Risk Classification Using Discriminative Restricted Boltzmann Machines  Q Li, J Zhang, Y Wang, K Kang
2015   Data Fusion Using Restricted Boltzmann Machines  Y Sakai, K Yamanishi
2015   Rényi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines  Q Yu, Y Hou, X Zhao, G Cheng
2015   Discrete Restricted Boltzmann Machines  G Montúfar, J Morton
2015   Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines  P Vellanki, D Phung, T Duong, S Venkatesh
2015   LIP movement generation using restricted Boltzmann machines for visual speech synthesis  ZC Liu, ZH Ling, LR Dai
2015   Model Selection for Discriminative Restricted Boltzmann Machines Through Meta-heuristic Techniques  JP Papa, GH Rosa, AN Marana, W Scheirer, DD Cox
2015   Stochastic Spectral Descent for Restricted Boltzmann Machines  D Carlson, V Cevher, L Carin
2015   Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment Analysis  T Huynh, Y He, S Rüger
2015   A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines  J Gao, J Yang, G Wang, M Li
2015   Learning Informative Features from Restricted Boltzmann Machines  JM Tomczak
2015   Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines  C Gou, K Wang, Y Yao, Z Li
2015   An Evolutionary Approximation to Contrastive Divergence in Convolutional Restricted Boltzmann Machines  R MCCOPPIN
2014   Atomic Energy Models For Machine Learning: Atomic Restricted Boltzmann Machines  H Tosun
2014   Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images  J Liu, M Gong, J Zhao, H Li, L Jiao
2014   Restricted Boltzmann Machines  K Duh
2014   Voice Conversion Using RNN Pre-Trained by Recurrent Temporal Restricted Boltzmann Machines  T Nakashika, T Takiguchi, Y Ariki
2014   Restricted Boltzmann Machines with SVM for Object Recognition⋆  C XIE, Y DU, Z GAO
2014   Maximum Reconstruction Probability Training Of Restricted Boltzmann Machines With Auxiliary Function Approach  N Takamune, H Kameoka
2014   Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization  M Probst, F Rothlauf, J Grahl
2014   Scalable Learning for Restricted Boltzmann Machines  E Barshan, P Fieguth