Deep Learning Publication Navigator - subtopic: boltzmann


Year TitleAuthor
2017   Speaker-adaptive-trainable Boltzmann machine and its application to non-parallel voice conversion  T Nakashika, Y Minami
2017   Restricted Boltzmann Machines for Vector Representation of Speech in Speaker Recognition  O Ghahabi, J Hernando
2017   DeepX: Deep Learning Accelerator for Restricted Boltzmann Machine Artificial Neural Networks.  LW Kim
2017   Deep Boltzmann Machines for Robust Fingerprint Spoofing Attack Detection  GB Souza, DFS Santos, RG Pires, AN Marana
2017   A modified version of Helmholtz Machine by using an Restricted Boltzmann Machine to model the generative probability of the top layer  J Hu, J Zhang, N Ji, C Zhang
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   Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks  XZ Wang, T Zhang, R Wang
2017   Sample Document–Inversion Of The Permeability Of A Tight Gas Reservoir With The Combination Of A Deep Boltzmann Kernel …  L Zhu, C Zhang, Y Wei, X Zhou, Y Huang, C Zhang
2017   Nonequilibrium Thermodynamics of Restricted Boltzmann Machines  DSP Salazar
2017   Deep Multiconnected Boltzmann Machine for Classification  GS Tsanev
2017   Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Restricted Boltzmann Machine  N Li, J Shi, M Gong
2017   On the Equivalence of Restricted Boltzmann Machines and Tensor Network States  J Chen, S Cheng, H Xie, L Wang, T Xiang
2017   Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling  M Wong, B Farooq, GA Bilodeau
2017   Visual Object Tracking Based on Cross-Modality Gaussian-Bernoulli Deep Boltzmann Machines with RGB-D Sensors  M Jiang, Z Pan, Z Tang
2017   Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs  K Fan
2017   Financial time series forecasting using conditional Restricted Boltzmann Machine  KC Lai
2017   Graph regularized Restricted Boltzmann Machine  D Chen, J Lv, Z Yi
2017   From features to speaker vectors by means of restricted Boltzmann machine adaptation  P Safari, O Ghahabi
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   A new item-based deep network structure using a restricted Boltzmann machine for collaborative filtering  Y Du, C Yao, S Huo, J Liu
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   Conditional High-order Boltzmann Machines for Supervised Relation Learning  W Wang, T Tan
2017   DeepX: Deep Learning Accelerator for Restricted Boltzmann Machine Artificial Neural Networks  LW Kim
2017   Lecture Notes on Restricted Boltzmann Machines  L Wiskott
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   VLSI Architectures for the Restricted Boltzmann Machine  B Yuan, KK Parhi
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   A Hybrid Deep Boltzmann Functional Link Network for Classification Problems  R Savitha, KY Chan, PP San, SH Ling, S Suresh
2017   Unsupervised Pre-training Classifier Based on Restricted Boltzmann Machine with Imbalanced Data  X Fu
2017   Elastic restricted Boltzmann machines for cancer data analysis  S Zhang, M Liang, Z Zhou, C Zhang, N Chen, T Chen
2017   Restricted Boltzmann machine based stock market trend prediction  Q Liang, W Rong, J Zhang, J Liu, Z Xiong
2017   A CMOS chaotic Boltzmann machine circuit and three-neuron network operation  M Yamaguchi, H Tamukoh, H Suzuki, T Morie
2017   Shape Completion using Deep Boltzmann Machine  Z Wang, Q Wu
2017   A novel radar signal recognition method based on a deep restricted Boltzmann machine  D Zhou, X Wang, Y Tian, R Wang
2016   Finding a good initial configuration of parameters for restricted Boltzmann machine pre-training  C Xie, J Lv, X Li
2016   Classification model of restricted Boltzmann machine based on reconstruction error  J Yin, J Lv, Y Sang, J Guo
2016   Quantum Boltzmann Machine  MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko
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   A Fuzzy Restricted Boltzmann Machine: Novel Learning Algorithms Based on Crisp Possibilistic Mean Value of Fuzzy Numbers  S Feng, CLP Chen
2016   Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling  CN Duong, K Luu, KG Quach, TD Bui
2016   Evaluation of vehicle interior sound quality using a continuous restricted Boltzmann machine-based DBN  HB Huang, RX Li, ML Yang, TC Lim, WP Ding
2016   Combining Generative and Discriminative Representation Learning for Lung CT Analysis with Convolutional Restricted Boltzmann Machines  G van Tulder, M de Bruijne
2016   Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine.  Z Han, Z Liu, J Han, CM Vong, S Bu, X Li
2016   On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM  B Wicht, A Fischer, J Hennebert
2016   Improved traffic detection with support vector machine based on restricted Boltzmann machine  J Yang, J Deng, S Li, Y Hao
2016   Memristive Boltzmann Machine: A Hardware Accelerator for Combinatorial Optimization and Deep Learning  MN Bojnordi, E Ipek
2016   Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints  S Lattner, M Grachten, G Widmer
2016   A very short term wind power prediction approach based on Multilayer Restricted Boltzmann Machine  X Peng, L Xiong, J Wen, Y Xu, W Fan, S Feng, B Wang
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   Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines  D Korenkevych, Y Xue, Z Bian, F Chudak
2016   Deep Learning using Restricted Boltzmann Machines  N Agarwalla, D Panda, MK Modi
2016   A Study on Visualizing Feature Extracted from Deep Restricted Boltzmann Machine using PCA  K Kawasaki, T Yoshikawa, T Furuhashi
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   MapReduce Based Distributed Learning Algorithm for Restricted Boltzmann Machine  CY Zhang, CLP Chen, D Chen, KT NG
2016   Robustness of hardware-oriented restricted Boltzmann machines in deep belief networks for reliable processing  K Ueyoshi, T Marukame, T Asai, M Motomura
2016   Rough Restricted Boltzmann Machine–New Architecture for Incomplete Input Data  WK Mleczko, RK Nowicki, R Angryk
2016   Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines  L Huang, L Wang
2016   Temperature-Based Deep Boltzmann Machines  LAP Junior, JP Papa
2016   Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine  Z Han, Z Liu, J Han, CM Vong, S Bu, X Li
2016   Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines  M Yasuda
2016   Bidirectional association of joint angle trajectories for humanoid locomotion: the restricted Boltzmann machine approach  M Raj, VB Semwal, GC Nandi
2016   A Structural Learning Method of Restricted Boltzmann Machine by Neuron Generation and Annihilation Algorithm  S Kamada, T Ichimura
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   Learning Thermodynamics with Boltzmann Machines  G Torlai, RG Melko
2016   Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine  S Odense, R Edwards
2016   Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations  MV Giuffrida, SA Tsaftaris
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   A Novel Bearing Fault Diagnosis Method based on Gaussian Restricted Boltzmann Machine  X HE, Y LI, C ZHOU
2016   Classificaç ao de grandes bases de dados utilizando máquina de Boltzmann restrita discriminativa  AGC Pacheco, RA Krohling
2016   On the propriety of restricted Boltzmann machines  A Kaplan, D Nordman, S Vardeman
2016   Statistical mechanics of unsupervised feature learning in a restricted Boltzmann machine with binary synapses  H Huang
2016   Restricted Boltzmann Machines Without Random Number Generators for Efficient Digital Hardware Implementation  S Hori, T Morie, H Tamukoh
2016   Rotation-Invariant Restricted Boltzmann Machine using shared gradient filters  MV Giuffrida, SA Tsaftaris
2016   Pattern Recognition on the Basis of Boltzmann Machine Model  A Babynin, L Gladkov, N Gladkova
2016   A joint Deep Boltzmann Machine (jDBM) Model for Person Identification using Mobile Phone Data  M Alam, M Bennamoun, R Togneri, F Sohel
2016   A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+)  N Phan, D Dou, B Piniewski, D Kil
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   Boltzmann Machine and its Applications in Image Recognition  S Ding, J Zhang, N Zhang, Y Hou
2016   Weight Uncertainty in Boltzmann Machine  J Zhang, S Ding, N Zhang, Y Xue
2016   Non-Parallel Training in Voice Conversion Using an Adaptive Restricted Boltzmann Machine  T Nakashika, Y Minami, T Takiguchi
2016   A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.  N Lu, T Li, X Ren, H Miao
2016   Temperature based Restricted Boltzmann Machines  G Li, L Deng, Y Xu, C Wen, W Wang, J Pei, L Shi
2016   Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding  F Zhao, Y Huang, L Wang, T Xiang, T Tan
2016   Class-specific mid-level feature learning with the Discriminative Group-wise Beta-Bernoulli process restricted Boltzmann machines  HJ Lee, KS Hong
2016   Network Architecture of Unsupervised Boltzmann Machines  M Piccolini
2016   Deep Restricted Boltzmann Networks  H Hu, L Gao, Q Ma
2016   Domain Adaptation for Image Analysis: An Unsupervised Approach Using Boltzmann Machines Trained by Perturbation  S Zaręba, M Kocot, JM Tomczak
2015   Restricted Boltzmann Machine Supervectors For Speaker Recognition  O Ghahabi, J Hernando
2015   Infrared ultraspectral signature classification based on a restricted Boltzmann machine with sparse and prior constraints  X Mei, Y Ma, F Fan, C Li, C Liu, J Huang, J Ma
2015   Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)  T Tran, TD Nguyen, D Phung, S Venkatesh
2015   Advanced Mean Field Theory of Restricted Boltzmann Machine  H Huang, T Toyoizumi
2015   Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels  X Li, F Zhao, Y Guo
2015   Ensemble Classification Restricted Boltzmann Machines: A Deep Learning Based Classification Method⋆  P Zhanga, G Zhangb, Q Panc
2015   An optimized dimensionality reduction model for high-dimensional data based on Restricted Boltzmann Machines  K Zhang, J Liu, Y Chai, K Qian
2015   Extensive Deep Belief Nets with Restricted Boltzmann Machine Using MapReduce Framework  S Pandiganesh, JCMJ Pamila
2015   A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling  S Nie, Z Wang, Q Ji
2015   On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony Search  JP Papa, GH Rosa, KA Costa, NA Marana, W Scheirer
2015   Hardware implementation of re-configurable Restricted Boltzmann Machines for image recognition  SJ Desai
2015   Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy  M Gabrié, EW Tramel, F Krzakala
2015   Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting  CY Zhang, CLP Chen, M Gan, L Chen
2015   Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions  T Lee, S Yoon
2015   Elastic regularization in restricted Boltzmann machines: Dealing with $ p\ gg N$  S Zhang
2015   Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset  Y Sawada, K Kozuka
2015   Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines  C Sui, M Bennamoun, R Togneri
2015   An incremental learning approach for restricted boltzmann machines  J Yu, J Gwak, S Lee, M Jeon
2015   Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning  Y Huang, W Wang, L Wang
2015   Towards 3D Object Detection With Bimodal Deep Boltzmann Machines Over RGBD Imagery  W Liu, R Ji, S Li
2015   Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation  R Hrasko, AGC Pacheco, RA Krohling
2015   A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines  X Zhao, Y Hou, D Song, W Li
2015   Factored Four Way Conditional Restricted Boltzmann Machines for Activity Recognition  DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta
2015   L_1-regularized Boltzmann machine learning using majorizer minimization  M Ohzeki
2015   Posed and Spontaneous Facial Expression Differentiation Using Deep Boltzmann Machines  Q Gan, C Wu, S Wang, Q Ji
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   Gaussian discrete restricted Boltzmann machine: theory and its applications: a thesis presented in partial fulfilment of the requirements for the degree of Master of …  S Manoharan
2015   Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines  CEC Chacón
2015   Scalable user intent mining using a multimodal Restricted Boltzmann Machine  Y Shang, W Ding, M Liu, X Song, T Hu, Y An, H Wang
2015   High-order semi-Restricted Boltzmann Machines and Deep Models for accurate peptide-MHC binding prediction  R Min, P Kuksa, X Ning
2015   Learning dynamic Boltzmann machines with spike-timing dependent plasticity  T Osogami, M Otsuka
2015   Mixing Rates for the Gibbs Sampler over Restricted Boltzmann Machines  C Tosh
2015   LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data  K Li, J Gao, S Guo, N Du, X Li, A Zhang
2015   Rényi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines  Q Yu, Y Hou, X Zhao, G Cheng
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   Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization  M Probst, F Rothlauf
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   Mean-Field Inference in Gaussian Restricted Boltzmann Machine  C Takahashi, M Yasuda
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   Fuzzy Restricted Boltzmann Machine and Its Fast Learning Algorithm  CL Chen, CY Zhang, L Chen, M Gan
2015   Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders  II Ororbia, G Alexander, CL Giles, D Reitter
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   Automatic Identification of Conceptual Structures using Deep Boltzmann Machines  PRK Rao, SL Devi
2015   Rademacher Complexity of the Restricted Boltzmann Machine  X Zhang
2015   Natural Scene Recognition Based on Superpixels and Deep Boltzmann Machines  J Yang, J Gao, G Wang, S Zhang
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   Learning Texture Image Prior for Super Resolution Using Restricted Boltzmann Machine  C Kang, M Hong, SI Yoo
2015   Classification Factored Gated Restricted Boltzmann Machine  I Sorokin
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   To be Bernoulli or to be Gaussian, for a Restricted Boltzmann Machine  T Yamashita, M Tanaka, E Yoshida, Y Yamauchi
2014   Deep Narrow Boltzmann Machines are Universal Approximators  G Montufar
2014   An Algorithm of Quantum Restricted Boltzmann Machine Network Based on Quantum Gates and Its Application  P Zhang, S Li, Y Zhou
2014   An automatic setting for training restricted boltzmann machine  CY Zhang, CL Chen
2014   Classification Restricted Boltzmann Machine for comprehensible credit scoring model  JM Tomczak, M Zięba
2014   A Noisy-Or Discriminative Restricted Boltzmann Machine for Recognizing Handwriting Style Development  G Chen, SN Srihari
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   Learning High-level Features by Deep Boltzmann Machines for Handwriting Digits Recogintion  S Zhang, K Kang
2014   Contrastive divergence for memristor-based restricted Boltzmann machine  AM Sheri, A Rafique, W Pedrycz, M Jeon
2014   Restricted Boltzmann Machines  K Duh
2014   話者適応型 Restricted Boltzmann Machine を用いた声質変換の検討  中鹿亘, 滝口哲也, 有木康雄
2014   Voice Conversion Using RNN Pre-Trained by Recurrent Temporal Restricted Boltzmann Machines  T Nakashika, T Takiguchi, Y Ariki
2014   Deep Correspondence Restricted Boltzmann Machine for Cross-modal Retrieval  F Feng, R Li, X Wang
2014   Energy Based Models and Boltzmann Machines (Cont.)  W Adams, K Plis
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   A 3D model recognition mechanism based on deep boltzmann machines  B Leng, X Zhang, M Yao, Z Xiong
2014   Scalable Learning for Restricted Boltzmann Machines  E Barshan, P Fieguth
2014   Expected energy-based restricted Boltzmann machine for classification  S Elfwing, E Uchibe, K Doya
2014   A Distributed Implementation of Training the Restricted Boltzmann Machine  KINTEK NG
2014   Deep Model for Classification of Hyperspectral image using Restricted Boltzmann Machine  ME Midhun, SR Nair, VT Prabhakar, SS Kumar
2014   A Novel Inference of a Restricted Boltzmann Machine  M Tanaka, M Okutomi
2014   Investigating the Consistency and Convexity of Restricted Boltzmann Machine Learning  BE Juel