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Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints

https://doi.org/10.1109/tcyb.2018.2863601
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-21735-7_2openalex-snapshot
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1007/978-3-642-31837-5_3openalex-snapshot
Time Series Forecasting Using Restricted Boltzmann Machine
inferredcites →https://doi.org/10.1007/978-3-642-35289-8_32openalex-snapshot
A Practical Guide to Training Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1007/s11063-015-9491-9openalex-snapshot
Learning Informative Features from Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1007/s11263-016-0896-3openalex-snapshot
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding
inferredcites →https://doi.org/10.1007/s13042-015-0419-5openalex-snapshot
Incremental extreme learning machine based on deep feature embedded
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A generative restricted Boltzmann machine based method for high-dimensional motion data modeling
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Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
inferredcites →https://doi.org/10.1016/j.neucom.2013.03.047openalex-snapshot
Time series forecasting using a deep belief network with restricted Boltzmann machines
inferredcites →https://doi.org/10.1016/j.neucom.2016.06.055openalex-snapshot
A novel feature extraction method for scene recognition based on Centered Convolutional Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1016/j.neucom.2016.09.083openalex-snapshot
A joint-L2,1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.006openalex-snapshot
Expected energy-based restricted Boltzmann machine for classification
inferredcites →https://doi.org/10.1016/j.neunet.2016.03.013openalex-snapshot
Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units
inferredcites →https://doi.org/10.1016/j.patcog.2007.10.009openalex-snapshot
Constraint Score: A new filter method for feature selection with pairwise constraints
inferredcites →https://doi.org/10.1038/srep19133openalex-snapshot
Temperature based Restricted Boltzmann Machines
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Neural networks and physical systems with emergent collective computational abilities.
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inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-snapshot
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MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset
inferredcites →https://doi.org/10.1109/icdmw.2014.17openalex-snapshot
Rényi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines
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Periocular Recognition Using Unsupervised Convolutional RBM Feature Learning
inferredcites →https://doi.org/10.1109/ijcnn.2013.6706831openalex-snapshot
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Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network
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Semisupervised Dimensionality Reduction With Pairwise Constraints for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/taslp.2014.2303296openalex-snapshot
Application of Deep Belief Networks for Natural Language Understanding
inferredcites →https://doi.org/10.1109/taslp.2014.2379589openalex-snapshot
Voice Conversion Using RNN Pre-Trained by Recurrent Temporal Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1109/tcyb.2017.2647904openalex-snapshot
An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition
inferredcites →https://doi.org/10.1109/tcyb.2017.2703610openalex-snapshot
Semi-Supervised Learning Through Label Propagation on Geodesics
inferredcites →https://doi.org/10.1109/tfuzz.2015.2406889openalex-snapshot
Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning
inferredcites →https://doi.org/10.1109/tip.2016.2605920openalex-snapshot
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine
inferredcites →https://doi.org/10.1109/tit.1982.1056489openalex-snapshot
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inferredcites →https://doi.org/10.1109/tkde.2005.198openalex-snapshot
Document clustering using locality preserving indexing
inferredcites →https://doi.org/10.1109/tnnls.2014.2303478openalex-snapshot
Real-Time Keypoint Recognition Using Restricted Boltzmann Machine
inferredcites →https://doi.org/10.1109/tpami.2013.238openalex-snapshot
The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1109/tr.2015.2424213openalex-snapshot
Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1126/science.1136800openalex-snapshot
Clustering by Passing Messages Between Data Points
inferredcites →https://doi.org/10.1134/s1054661810040140openalex-snapshot
Mixture graph based semi-supervised dimensionality reduction
inferredcites →https://doi.org/10.1145/1150402.1150420openalex-snapshot
Orthogonal nonnegative matrix t-factorizations for clustering
inferredcites →https://doi.org/10.1145/2623330.2623618openalex-snapshot
Supervised deep learning with auxiliary networks
inferredcites →https://doi.org/10.1145/2808797.2809307openalex-snapshot
Social Restricted Boltzmann Machine
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1146/annurev-statistics-010814-020120openalex-snapshot
Learning Deep Generative Models
inferredcites →https://doi.org/10.1162/089976602760128018openalex-snapshot
Training Products of Experts by Minimizing Contrastive Divergence
inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot
A Fast Learning Algorithm for Deep Belief Nets
inferredcites →https://doi.org/10.1162/neco_a_00311openalex-snapshot
An Efficient Learning Procedure for Deep Boltzmann Machines
inferredcites →https://doi.org/10.21437/interspeech.2011-633openalex-snapshot
Deep belief networks for automatic music genre classification
inferredcites →https://doi.org/10.3724/sp.j.1001.2008.02803openalex-snapshot
Semi-Supervised Clustering Based on Affinity Propagation Algorithm
inferredcites →https://doi.org/10.48550/arxiv.1501.06237openalex-snapshot
Deep Transductive Semi-supervised Maximum Margin Clustering
inferredcites →https://doi.org/10.48550/arxiv.1505.06485openalex-snapshot
Constrained 1-Spectral Clustering
inferredcites →https://doi.org/10.5555/1756006.1953039openalex-snapshot
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
inferredcites →https://doi.org/10.5555/1953048.2021035openalex-snapshot
Two Distributed-State Models For Generating High-Dimensional Time Series
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images
inferredcites →https://doi.org/10.7551/mitpress/3349.003.0005openalex-snapshot
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inferredcites →https://doi.org/10.7551/mitpress/7503.003.0024openalex-snapshot
Greedy Layer-Wise Training of Deep Networks

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Comparison of Supervised and Semi-supervised Training Algorithms of Restricted Boltzmann Machines on Biological Data
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Anomaly Detection for Industry Product Quality Inspection based on Gaussian Restricted Boltzmann Machine
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